{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dkc_NHeL9JV4",
        "outputId": "201c7a87-641d-4055-dcdb-e65aa965b24d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n",
            "\u001b[1m11490434/11490434\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 0us/step\n"
          ]
        }
      ],
      "source": [
        "from tensorflow.keras.datasets import mnist\n",
        "from tensorflow.keras.utils import to_categorical\n",
        "import numpy as np\n",
        "\n",
        "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n",
        "x_train = x_train.astype(\"float32\") / 255.0\n",
        "x_test = x_test.astype(\"float32\") / 255.0\n",
        "x_train = x_train[..., np.newaxis]\n",
        "x_test = x_test[..., np.newaxis]\n",
        "y_train = to_categorical(y_train, 10)\n",
        "y_test = to_categorical(y_test, 10)\n",
        "\n",
        "images_to_check = x_test[:10]\n",
        "labels_to_check = y_test[:10]\n",
        "\n",
        "x_test = x_test[10:]\n",
        "y_test = y_test[10:]"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten, Dense, Dropout, BatchNormalization\n",
        "import time\n",
        "start = time.time()\n",
        "\n",
        "model = Sequential([\n",
        "    Conv2D(32, (3, 3), activation='relu', padding='same', input_shape=(28, 28, 1)),\n",
        "    BatchNormalization(),\n",
        "    MaxPooling2D((2, 2)),\n",
        "    Dropout(0.25),\n",
        "\n",
        "    Conv2D(64, (3, 3), activation='relu', padding='same'),\n",
        "    BatchNormalization(),\n",
        "    MaxPooling2D((2, 2)),\n",
        "    Dropout(0.25),\n",
        "\n",
        "    Flatten(),\n",
        "    Dense(128, activation='relu'),\n",
        "    BatchNormalization(),\n",
        "    Dropout(0.5),\n",
        "    Dense(10, activation='softmax')\n",
        "\n",
        "])\n",
        "\n",
        "model.compile(optimizer=\"adam\",\n",
        "              loss=\"categorical_crossentropy\",\n",
        "              metrics=[\"accuracy\"])\n",
        "\n",
        "\n",
        "history = model.fit(x_train, y_train,\n",
        "                    epochs=10,\n",
        "                    batch_size=32,\n",
        "                    validation_data=(x_test, y_test))\n",
        "loss, accuracy = model.evaluate(x_test, y_test, verbose=0)\n",
        "print(f\"Test loss: {loss:.4f}\")\n",
        "print(f\"Test accuracy: {accuracy:.4f}\")\n",
        "end = time.time()\n",
        "print(f\"Czas wykonania {end - start}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "20qQ1yob_9fw",
        "outputId": "2531fcf2-eb78-48d0-af55-3cea5665745f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/keras/src/layers/convolutional/base_conv.py:113: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
            "  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/10\n",
            "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m73s\u001b[0m 38ms/step - accuracy: 0.9380 - loss: 0.2030 - val_accuracy: 0.9835 - val_loss: 0.0505\n",
            "Epoch 2/10\n",
            "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m67s\u001b[0m 36ms/step - accuracy: 0.9729 - loss: 0.0894 - val_accuracy: 0.9853 - val_loss: 0.0429\n",
            "Epoch 3/10\n",
            "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m83s\u001b[0m 36ms/step - accuracy: 0.9775 - loss: 0.0737 - val_accuracy: 0.9891 - val_loss: 0.0329\n",
            "Epoch 4/10\n",
            "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m80s\u001b[0m 35ms/step - accuracy: 0.9803 - loss: 0.0645 - val_accuracy: 0.9878 - val_loss: 0.0358\n",
            "Epoch 5/10\n",
            "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m84s\u001b[0m 37ms/step - accuracy: 0.9823 - loss: 0.0548 - val_accuracy: 0.9900 - val_loss: 0.0319\n",
            "Epoch 6/10\n",
            "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m68s\u001b[0m 36ms/step - accuracy: 0.9844 - loss: 0.0509 - val_accuracy: 0.9890 - val_loss: 0.0334\n",
            "Epoch 7/10\n",
            "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m67s\u001b[0m 36ms/step - accuracy: 0.9851 - loss: 0.0464 - val_accuracy: 0.9940 - val_loss: 0.0212\n",
            "Epoch 8/10\n",
            "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m67s\u001b[0m 36ms/step - accuracy: 0.9869 - loss: 0.0429 - val_accuracy: 0.9915 - val_loss: 0.0245\n",
            "Epoch 9/10\n",
            "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m83s\u001b[0m 36ms/step - accuracy: 0.9872 - loss: 0.0414 - val_accuracy: 0.9929 - val_loss: 0.0232\n",
            "Epoch 10/10\n",
            "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m80s\u001b[0m 35ms/step - accuracy: 0.9876 - loss: 0.0391 - val_accuracy: 0.9922 - val_loss: 0.0249\n",
            "Test loss: 0.0249\n",
            "Test accuracy: 0.9922\n",
            "Czas wykonania 755.1877565383911\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import tensorflow as tf\n",
        "print(\"Czy GPU jest dostępne:\", tf.config.list_physical_devices('GPU'))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DOLNrf34J4qv",
        "outputId": "106e6594-526e-452c-9919-9ab88d531418"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Czy GPU jest dostępne: []\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vGf-WkU8K-Kv",
        "outputId": "1e8a3379-52ea-4061-e1bb-3e1e4aa4f8f1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from pathlib import Path\n",
        "from PIL import Image, ImageOps\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "for path in Path(\"/content/drive/MyDrive/Colab Notebooks/testowe\").rglob(\"*.png\"):\n",
        "    image = Image.open(path).convert('L')\n",
        "    image = ImageOps.invert(image)\n",
        "    image = image.resize((28, 28))\n",
        "    image = np.array(image).reshape(1, 28, 28, 1) / 255.0\n",
        "\n",
        "    plt.imshow(image.reshape(28, 28), cmap='gray')\n",
        "    plt.title('Przetworzony obraz')\n",
        "    plt.axis('off')\n",
        "    plt.show()\n",
        "\n",
        "    prediction = model.predict(image)[0]\n",
        "    predicted_digit = np.argmax(prediction)\n",
        "\n",
        "    print(f\"Rozpoznana cyfra: {predicted_digit}\")\n",
        "\n",
        "\n",
        "print(\"------------------------------------------------------------------\")\n",
        "for i, image in enumerate(images_to_check):\n",
        "    image_input = image.reshape(1, 28, 28, 1)\n",
        "    prediction = model.predict(image_input)[0]\n",
        "    predicted_digit = np.argmax(prediction)\n",
        "    true_label = np.argmax(labels_to_check[i])\n",
        "    plt.imshow(image.reshape(28, 28), cmap='gray')\n",
        "    plt.title(f\"Obraz z MNIST\")\n",
        "    plt.axis('off')\n",
        "    plt.show()\n",
        "    print((f\"Rozpoznana cyfra to: {predicted_digit}\"))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "2R7-xXT_KbmI",
        "outputId": "6786afb0-92ba-45ac-f27e-4774bcc0bf8d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 35ms/step\n",
            "Rozpoznana cyfra: 0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 33ms/step\n",
            "Rozpoznana cyfra: 7\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 40ms/step\n",
            "Rozpoznana cyfra: 0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 68ms/step\n",
            "Rozpoznana cyfra: 3\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 86ms/step\n",
            "Rozpoznana cyfra: 8\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAGbCAYAAAAr/4yjAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAFftJREFUeJzt3XuQ1XX9+PHX4b6w6hoghDogDogjFURaxs0alIuXRMREvEA6JunkLUXHSrav5iimjKhgWYIX0BlN/cMbkqTk3bECRfEGJGlJhuQFvMD794fDa9oWkEW57e/xmNk/9nM+7895n8+658nnnLNvK6WUEgAQEU229gQA2HaIAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAjQClUolTjvttK09DRoBUWgkpk2bFpVKJb9atWoV3bt3j9NOOy3++c9/bvH5zJgxIyZNmrTF7xf4fJpt7QnwxfrFL34Re+yxR6xatSr+9Kc/xZQpU+Lee++N5557Llq3br3F5jFjxox47rnn4owzzthi9wl8fqLQyAwdOjS+8Y1vRETESSedFG3bto0rrrgi7r777hg1atQ6x7z//vvRpk2bLTnNLaqxP77Py/nhv3n5qJH77ne/GxERixYtioiIMWPGRHV1dbz66qsxbNiw2GGHHWL06NH1Xn76768DDjigzjFvvvnm6NOnT1RVVcWXvvSlOProo+P111/P2w844IC45557YsmSJXmMLl26RCkl2rVrF2eddVbuu2bNmqipqYmmTZvGO++8k9svvfTSaNasWbz33nu57aGHHor+/ftHmzZtoqamJr73ve/FCy+8UGduEyZMiEqlEgsWLIhjjjkmdt555+jXr1/88Y9/XO/j69KlS51jXHvttbHPPvtEy5Yto1OnTnHqqafWmdvax9izZ89YsGBBfOc734nWrVvHrrvuGpdddlnu895770WbNm3i9NNPr/dzWbp0aTRt2jQuueSS9f/w4tMn7LPPPjt23333aNmyZey1115x+eWXx/oWN77llltir732ilatWkWfPn3ikUce2ajzExExb968GDNmTHTt2jVatWoVHTt2jB/84Afx9ttv5/jFixev9zxWKpUNPha2D64UGrlXX301IiLatm2b2z755JMYPHhw9OvXLy6//PJo3bp19O3bN2666aY6Y5csWRI//elPY5dddsltF198cfzsZz+Lo446Kk466aRYtmxZTJ48OQYMGBB//vOfo6amJi644IJYsWJFLF26NK688sqIiKiuro5KpRJ9+/at80Q1b968WLFiRTRp0iQeffTROPjggyMiYu7cudG7d++orq6OiIjZs2fH0KFDo2vXrjFhwoRYuXJlTJ48Ofr27RvPPvtsvSf2kSNHRrdu3eKXv/xllFJi7733rvf43nnnnTjrrLPqPL4JEyZEbW1tDBo0KMaNGxcLFy6MKVOmxNNPPx2PPvpoNG/ePPddvnx5DBkyJI444og46qij4vbbb4/x48fHV77ylRg6dGhUV1fH8OHD47bbbosrrrgimjZtmmNnzpwZpZQYPXr0en92pZQ47LDDYs6cOXHiiSdGr1694oEHHohzzjkn/v73v+e5Xevhhx+O2267LX784x9Hy5Yt49prr40hQ4bEU089FT179tzg+YmIePDBB+O1116LsWPHRseOHeP555+PX//61/H888/HE088EZVKJdq3b1/vPH788cdx5plnRosWLdb7WNiOFBqFG264oUREmT17dlm2bFl5/fXXy6233lratm1bqqqqytKlS0sppZxwwgklIsp55523weOtXLmy9OnTp3Tq1Km8+eabpZRSFi9eXJo2bVouvvjiOvvOnz+/NGvWrM72gw8+uHTu3LnecSdOnFiaNm1a/vOf/5RSSrnqqqtK586dy3777VfGjx9fSill9erVpaamppx55pk5rlevXmWXXXYpb7/9dm7761//Wpo0aVKOP/743HbhhReWiCijRo3a4ONbs2ZNOeSQQ0p1dXV5/vnnSymlvPXWW6VFixbloIMOKqtXr859r7766hIR5Xe/+11uGzhwYImIcuONN+a2Dz/8sHTs2LGMGDEitz3wwAMlIsp9991X5/6/+tWvloEDB25wjnfddVeJiHLRRRfV2X7kkUeWSqVSXnnlldwWESUiyjPPPJPblixZUlq1alWGDx+e2zZ0fj744IN622bOnFkiojzyyCPrneePfvSj0rRp0/LQQw9t8PGwfRCFRmJtFP73q3PnzuX+++/P/dZGYcmSJRs83tixY0uLFi3K448/ntuuuOKKUqlUyssvv1yWLVtW52vvvfcugwYNyn3XF4UnnniiRETOaeTIkeXYY48tZ599dvn2t79dSvn0yT4iyu9///tSSilvvPFGiYhy7rnn1jve4MGDS7t27fL7tU96Dz/88AYfX21tbYmIcvvtt+e2GTNmlIgo9957b519P/zww7LjjjvWebIfOHBgqa6uLmvWrKmz72GHHVZ69+6d369evbp06tSpHHvssblt/vz5JSLKb37zmw3O8eSTT64T0LUef/zxEhFl8uTJuS0iyv7771/vGN///vdL69atyyeffFJK2fjzs3LlyrJs2bKyaNGiEhFl0qRJ69xv+vTpJSLKr371qw0ej+2H9xQamWuuuSYefPDBmDNnTixYsCBee+21GDx4cJ19mjVrFrvtttt6j3HdddfFDTfcEJMnT45vfetbuf3ll1+OUkp069Yt2rdvX+frhRdeiLfeeusz5/f1r389WrduHXPnzo2IT18m6t+/fwwYMCCeeeaZWLVqVd629rXuJUuWRETEXnvtVe94e++9d/zrX/+K999/v872PfbYY71zuP/++6O2tjbOP//8GDFiRG5f3/20aNEiunbtmrevtdtuu9V7HX3nnXeO5cuX5/dNmjSJ0aNHx1133RUffPBBRHz6un+rVq1i5MiR653j2vl06tQpdthhh3qP+b/nu1a3bt3qHaN79+7xwQcfxLJly+psX9f5+fe//x2nn356dOjQIaqqqqJ9+/a534oVK+rt/5e//CVOOeWUGDVqVJ33idi+eU+hkdlvv/3y00fr07Jly2jSZN3/Hnjqqafi9NNPj5NOOilOPvnkOretWbMmKpVK3HfffXVeH19r7ev/G9K8efP45je/GY888ki88sor8Y9//CP69+8fHTp0iI8//jiefPLJmDt3bvTo0SPat2//mcdbn6qqqnVuX7RoUYwePToOPPDAuOiiizb5+BGxznMQEfXeBD7++ONj4sSJcdddd8WoUaNixowZccghh8ROO+30ue7/81jX+TnqqKPisccei3POOSd69eoV1dXVsWbNmhgyZEisWbOmzr7Lly+PESNGRPfu3eP666/fUtNmCxAF0rJly+LII4+MXr16xTXXXFPv9j333DNKKbHHHntE9+7dN3isDX0SpX///nHppZfG7Nmzo127dtGjR4+oVCqxzz77xNy5c2Pu3LlxyCGH5P6dO3eOiIiFCxfWO9aLL74Y7dq126iPVK5cuTKOOOKIqKmpiZkzZ9YL43/fT9euXXP7Rx99FIsWLYpBgwZ95n2sS8+ePaN3795xyy23xG677RZ/+9vfYvLkyZ85rnPnzjF79ux4991361wtvPjii3Xmu9bLL79c7xgvvfRStG7d+jMDu3z58vjDH/4QtbW18fOf/3yDx1yzZk2MHj063nnnnZg9e/YW/fsXNj8vHxEREatXr46jjz46Pvroo7jjjjvW+UmSI444Ipo2bRq1tbX1/jVcSqnz0cU2bdqs8yWHiE+j8OGHH8akSZOiX79+GZD+/fvHTTfdFG+88Ub0798/9//yl78cvXr1iunTp9f5aOhzzz0Xs2bNimHDhm3UYzzllFPipZdeijvvvDN23nnnercPGjQoWrRoEVdddVWdx/fb3/42VqxYkZ+M2hTHHXdczJo1KyZNmhRt27aNoUOHfuaYYcOGxerVq+Pqq6+us/3KK6+MSqVS7xiPP/54PPvss/n966+/HnfffXccdNBB672qWWvt7f/7c13XX6XX1tbGAw88EDNnztzgy3Rsn1wpEBERU6dOjYceeihOOeWUmDNnTp3bOnToEAceeGDsueeecdFFF8X5558fixcvjsMPPzx22GGHWLRoUdx5551x8sknx09+8pOIiOjTp0/cdtttcdZZZ8W+++4b1dXVceihh0ZExP777x/NmjWLhQsX1nmJasCAATFlypSIiDpRiIiYOHFiDB06NPbff/848cQT8yOpO+20U0yYMOEzH98999wTN954Y4wYMSLmzZsX8+bNy9uqq6vj8MMPj/bt28f5558ftbW1MWTIkDjssMNi4cKFce2118a+++4bxx577Cad24iIY445Js4999y48847Y9y4cXU+2ro+hx56aHznO9+JCy64IBYvXhxf+9rXYtasWXH33XfHGWecEXvuuWed/Xv27BmDBw+u85HUiE+fxD/LjjvuGAMGDIjLLrssPv7449h1111j1qxZ+fcta82fPz/+7//+LwYMGBBvvfVW3HzzzXVu/zzniG3EVnyTmy/Q2k8fPf300xvc74QTTiht2rSpt33tp1LW9fW/H5284447Sr9+/UqbNm1KmzZtSo8ePcqpp55aFi5cmPu899575Zhjjik1NTX5Kaj/tu+++5aIKE8++WRuW7p0aYmIsvvuu69z7rNnzy59+/YtVVVVZccddyyHHnpoWbBgwTofx7Jly9Z5ftb19b9zu/rqq0uPHj1K8+bNS4cOHcq4cePK8uXL6+wzcODAss8++9Sb4wknnLDOT12VUsqwYcNKRJTHHntsnbevy7vvvlvOPPPM0qlTp9K8efPSrVu3MnHixHqfeoqIcuqpp5abb765dOvWrbRs2bL07t27zJkzp85+6zs/pXx6/ocPH15qamrKTjvtVEaOHJmf/LrwwgtLKaXMmTNnvefR00njUCllPX8aCXyhhg8fHvPnz49XXnlla08F1st7CrAFvPnmm3HPPffEcccdt7WnAhvkPQXYjBYtWhSPPvpoXH/99dG8efP44Q9/uLWnBBvkSgE2o4cffjiOO+64WLRoUUyfPj06duy4tacEG+Q9BQCSKwUAkigAkDb6jWb/Aw2A7dvGvFvgSgGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQBSs609AfgsQ4YMafCYKVOmbIaZ1FdbW9vgMdOmTfviJwJfEFcKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIlVJK2agdK5XNPRcauTFjxmzSuCuvvLLBY2pqajbpvhpq1apVDR5TVVW1GWYCn21jnu5dKQCQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIDXb2hNg6xsyZEiDx0yZMqXBY7p06dLgMdu6adOmbe0pwBfKlQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIF8bZRm7JIXYSF6j6PqVOnNnjMuHHjNsNMYOtxpQBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgGRBvC1gUxa3mzlz5ibdV01NzSaN25bdeuutDR4zduzYBo9ZtWpVg8dAY+NKAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASFZJbaAtteJpY1ztdOrUqZs0bty4cV/wTID1caUAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYD0//WCeBa3+9SmLFRnkbpNtyn/3UVEjB8/vsFjpk+f3uAx06ZNa/AYGg9XCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASJVSStmoHSuVzT2Xz8Xidp+yuN22780339ykcR07dmzwmFWrVjV4TFVVVYPHsH3YmKd7VwoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiNZkG8TVlkbFMWGNtSNmVhuwiL220PNvJXbqvZ1n/X2XQWxAOgQUQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgCp0aySui2vPLkpK55a7bTx2pb/W43Ycr/rQ4YM2aRx48ePb/CY6dOnN3jMtGnTGjxmW2eVVAAaRBQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIF8bZRixcv3qRxtbW1DR7TGBf+GjNmTIPHXHjhhQ0e06VLlwaPYctbtWpVg8dUVVVthplsXRbEA6BBRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIDWaBfFWrlzZ4DGtWrXaDDMBGoNt/TlvU1gQD4AGEQUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgNRsa0/gi1JbW9vgMZdccslmmAmwrZk6derWnsJ2w5UCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQBSpZRSNmrHSmVzz6XROu+88xo8xmJ9W96tt97a4DFjx45t8JiVK1c2eMyW5He98dqYp3tXCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQLJKKmxhG/krt9X4XW+8rJIKQIOIAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkJpt7QnA9mzIkCFbewrwhXKlAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAVCmllI3asVLZ3HOB7c6iRYsaPKZLly5f/ES+QH7XG6+Nebp3pQBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgNRsa08AtmfXXXddg8dccsklm2Em6zZ16tQtdl80Dq4UAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAVCmllI3asVLZ3HMBYDPamKd7VwoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoApGYbu2MpZXPOA4BtgCsFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFANL/A7gOUNQHlDFdAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 35ms/step\n",
            "Rozpoznana cyfra: 4\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 34ms/step\n",
            "Rozpoznana cyfra: 5\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 31ms/step\n",
            "Rozpoznana cyfra: 5\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 31ms/step\n",
            "Rozpoznana cyfra: 3\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 35ms/step\n",
            "Rozpoznana cyfra: 2\n",
            "------------------------------------------------------------------\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 55ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 7\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 35ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 2\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 36ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 1\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 36ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 0\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 33ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 4\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 36ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 1\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 31ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 4\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 33ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAGbCAYAAAAr/4yjAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAEmFJREFUeJzt3Xus1wX9x/H3AYoDKQyQi5kBAnVItOO0tBbXSGW40yghOadmsxwYkCwzlTagnCOhTGWGxsgVHA42Il3k7C4Ryy6rQYNWwjhbayAHDpe4jaTP74/fj/fPI+fg+RxAlB6PzT/O9/t9fT+fw/A8z/cL50NFURRFAEBEdDrXJwDAG4coAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIocEbNnz8/KioqYvfu3ef6VIAOEAVe0+bNm+OTn/xkXHLJJdG1a9d4+9vfHnV1dbF58+ZzfWqvu0GDBkVFRUWMHz++1fuXLl0aFRUVUVFREX/84x/z9hOx7N+/fxw+fLjV573pppta3FZRUREzZ85scVtTU1PceeedUVVVFd26dYt+/frF+9///rjnnnvi4MGD8fzzz+fxX+s/aE2Xc30CvLGtWbMmpk6dGr17947PfOYzMXjw4GhsbIxly5bF6tWrY9WqVTFp0qRzfZqvq8rKyvjVr34VO3fujAEDBrS4r76+PiorK+Po0aOtbnft2hVLliyJu+66q/Rxm5ub45prrokDBw7EbbfdFlVVVbFnz57YtGlTLFmyJO64444YPnx4LF++vMXuvvvuiwsuuCC+/OUvlz4m/4UKaMPWrVuL7t27F1VVVcWuXbta3NfU1FRUVVUVb3vb24pt27bl7fPmzSsiomhqaip9vOPHjxdHjhw57fM+mwYOHFh8+MMfLnr06FE8/PDDLe77xz/+UXTq1Kn4+Mc/XkRE8Yc//CHvO/HrUl1dXfTv3784fPjwSc87ceLEFrdFRDFjxoz8eOHChUVEFBs2bDjpvPbv39/mr93ll19ejB49uuynyn8pbx/RpkWLFsXhw4fj29/+dvTt27fFfRdddFE88cQTcejQoVi4cOFJ2927d8eUKVOiR48e0adPn7jzzjtP+u75xNsj9fX1cfnll0fXrl3jueeei4iIr3/96/HBD34w+vTpE926dYurr746Vq9e3WL/6U9/us23RubPn9/m59XR3QmVlZXxsY99LFauXNni9oaGhujVq1fccMMNbW7nzp0bL730UixZsuQ1j/Nq27Zti86dO8d111130n09evSIysrK0s8Jr+btI9r0ox/9KAYNGhQjR45s9f5Ro0bFoEGD4sc//vFJ902ZMiUGDRoUCxYsiBdeeCEeffTR2Lt3b3zve99r8bhf/vKX8f3vfz9mzpwZF110UQwaNCgiIh555JGoqamJurq6OHbsWKxatSomT54ca9eujYkTJ0ZExLRp0056b/+5556L+vr66NevX5ufV0d3r1RbWxvXX399bNu2LYYMGRIREStXroybb7453vKWt7S5GzlyZIwbNy4WLlwYd9xxR3Tr1q1dx4uIGDhwYBw/fjyWL18et956a7t3UMq5fqnCG9O+ffuKiCg++tGPnvJxNTU1RUQUBw4cKIri/98mqampafG4z33uc0VEFBs3bszbIqLo1KlTsXnz5pOe99Vvrxw7dqwYMWJEMW7cuDbP5cUXXyx69uxZfOQjHylefvnl1/oUO7Q78TbPyy+/XAwYMKC4//77i6Ioii1bthQRUaxbt6548skn23z7qKmpqVi3bl0REcVDDz100vO+Urzq7aOdO3cWffv2LSKiqKqqKqZPn16sXLmy2Ldv3ynP2dtHlOHtI1r1r3/9KyIiLrzwwlM+7sT9Bw4caHH7jBkzWnw8a9asiIh49tlnW9w+evToeM973nPS877yO+i9e/fG/v37Y+TIkfGnP/2p1fM4dOhQTJo0KXr16hUNDQ3RuXPnU5736e46d+4cU6ZMiYaGhoj43z9gvvTSS9t8VfVKo0aNirFjx8bChQvjyJEj7TpeRET//v1j48aNMX369Ni7d288/vjjUVtbG/369Yv7778/Cv9eFmeAKNCqE1/sT8ShLW3FY9iwYS0+HjJkSHTq1CkaGxtb3D548OBWn3ft2rVx3XXXRWVlZfTu3Tv69u0bS5Ysif3797f6+Ntvvz22bdsWP/zhD6NPnz6nPOczsYv437eQtmzZEhs3boyVK1fGLbfc0u6/6jl//vzYuXNnPP7446WOefHFF8eSJUtix44d8be//S0effTR6Nu3b8ydOzeWLVtW6rmgNaJAq3r27BkXX3xxbNq06ZSP27RpU1xyySXRo0ePUz6urS+Wrb2nvn79+qipqYnKysr41re+Fc8++2z87Gc/i9ra2la/G37kkUeioaEhli5dGtXV1ac8jzOxO+Haa6+NIUOGxOzZs2P79u1RW1vb7u2oUaNizJgxpV8tnFBRURHvete7YtasWfHrX/86OnXqFPX19aWfB15NFGjTTTfdFNu3b4/f/OY3rd6/fv36aGxsPOmHriIiXnzxxRYfb926Nf7zn//kHySfyg9+8IOorKyMn/zkJ3HbbbfFhAkT2vxhsfXr18cXv/jFmD17dtTV1b32J3Wau1ebOnVqPP/88zF8+PDSYTnxauGJJ57o8PEjIi677LLo1atX7Nix47SeByJEgVO4++67o1u3bjFt2rTYs2dPi/uam5tj+vTp0b1797j77rtP2j722GMtPl68eHFEREyYMOE1j9u5c+eoqKiI48eP522NjY3x9NNPt3jcjh07YsqUKfGhD30oFi1a1N5Pq8O71nz2s5+NefPmxTe+8Y3S29GjR8eYMWPiwQcfbPOH3V7pd7/7XRw6dOik23//+9/Hnj174t3vfnfpc4BX81dSadOwYcPiu9/9btTV1cUVV1xx0k807969OxoaGvKvZL7S9u3bo6amJm688cb47W9/GytWrIja2tp473vf+5rHnThxYjz00ENx4403Rm1tbezatSsee+yxGDp0aIu3sz7/+c9HU1NTfOlLX4pVq1a1eI4rr7wyrrzyylafv6O71gwcOLBdP9vQlnnz5sXYsWPb9djly5dHfX19TJo0Ka6++up461vfGn/961/jO9/5TlRWVsacOXM6fB5wgihwSpMnT46qqqpYsGBBhqBPnz4xduzYmDNnTowYMaLV3VNPPRVz586Ne++9N7p06RIzZ85s93fl48aNi2XLlsXXvva1mD17dgwePDgefPDBaGxsbBGFpqamOH78eHzhC1846TnmzZvX5hf3ju7OhjFjxsTo0aNj3bp1r/nYadOmRffu3eMXv/hFPPPMM3HgwIHo27dvXH/99XHffffFVVdd9TqcMee7isLfYwPg//gzBQCSKACQRAGAJAoAJFEAIIkCAKndP6fg33QFeHNrz08geKUAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgdTnXJ8B/jx49enRot2DBgtKbESNGlN6MHz++9Obf//536Q28kXmlAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGA5IJ4dEhdXV3pzQMPPNChY1166aUd2pXVkQv27dmz5yycCZw7XikAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgCpoiiKol0PrKg42+fCOfKOd7yj9ObPf/5z6U2fPn1KbyIi2vlb9LQ99dRTpTczZ84svWlubi69gTOhPf8veaUAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYDkgnjEww8/XHoza9as0puO/h56vS6I1xH79+8vvXnggQc6dKzFixeX3hw7dqxDx+L85IJ4AJQiCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIAyQXxzjMDBw4svdm0aVPpzQUXXFB685e//KX0JiLipZdeKr0ZP358h471eti1a1eHdldddVXpzc6dOzt0LM5PLogHQCmiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQupzrE+DMqq6uLr258MILS2/Wr19fejN69OjSm4iIysrK0pupU6eW3syZM6f0ZsiQIaU3AwYMKL2JiHjmmWdKbyZMmFB609zcXHrD+cMrBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAILlK6nmma9eupTdFUZTefPOb3yy96aijR4+W3jz55JOlN5MnTy69ueyyy0pvOurw4cOlN8eOHTsLZ8L5zCsFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkF8Q7z0ydOvV1Oc7EiRNLb55++ukzfyJn0DXXXHOuT+GUXnjhhdKbgwcPnoUz4XzmlQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIL4p1nGhoaSm9qampKb973vveV3lRVVZXeRERcccUVpTeTJk0qvenVq1fpzb59+16X40RE3H777aU3y5cvL73ZsmVL6Q3nD68UAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQKoqiKNr1wIqKs30unAG9e/cuvdm6dWvpTc+ePUtvOvp7qJ2/RU/bz3/+89KbGTNmlN6sXbu29CYiYtiwYaU3S5cuLb2ZPn166Q1vDu35f8krBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoApC7n+gQ4s5qbm0tvpkyZUnqzevXq0puOXESvoxYvXlx6c88995TeHD16tPRmzZo1pTcREffee2/pzQ033FB6M2TIkNKbbdu2ld7wxuSVAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkCqKoija9cCKirN9LryJjB8/vvSmtra2Q8fat29f6c3cuXNLbw4ePFh60xHdunXr0G7lypWlNzU1NaU3K1asKL259dZbS294/bXny71XCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASC6IB28St9xyS+lNfX196c0///nP0pvq6urSm+bm5tIbTo8L4gFQiigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACQXxIM3iU6dyn8Pt2LFitKbT3ziE6U3X/nKV0pvvvrVr5becHpcEA+AUkQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACC5IB6cx6qrq0tvNmzYUHpTWVlZejN8+PDSm4iIv//97x3a4YJ4AJQkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIAyQXxgBbuuuuu0ptFixaV3qxZs6b0JiLiU5/6VOnNkSNHOnSs840L4gFQiigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACC5SirQQt++fUtvNmzYUHozdOjQ0puIiOrq6tKbTZs2dehY5xtXSQWgFFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEguiAectne+852lN42NjR06VkNDQ+lNXV1dh451vnFBPABKEQUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgOSCeMA58dOf/rRDuw984AOlN9dee23pzZYtW0pv3uhcEA+AUkQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACB1OdcnAPx3uvnmmzu027hxY+nN0KFDS2/OxwvitYdXCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQKooiqJo1wMrKs72uQBwFrXny71XCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgCkLu19YFEUZ/M8AHgD8EoBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgPQ/83glfnstfPUAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 9\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 37ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 5\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 37ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 9\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "CMJT_CVoOqVb"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from pathlib import Path\n",
        "from PIL import Image, ImageOps\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "for path in Path(\"/content/drive/MyDrive/Colab Notebooks/testowe\").rglob(\"*.png\"):\n",
        "    image = Image.open(path).convert('L')\n",
        "    image = ImageOps.invert(image)\n",
        "    image = image.resize((28, 28))\n",
        "    image = np.array(image).reshape(1, 28, 28, 1) / 255.0\n",
        "\n",
        "    plt.imshow(image.reshape(28, 28), cmap='gray')\n",
        "    plt.title('Przetworzony obraz')\n",
        "    plt.axis('off')\n",
        "    plt.show()\n",
        "\n",
        "    prediction = model.predict(image)[0]\n",
        "    top3_indices = np.argsort(prediction)[-3:][::-1]\n",
        "    top3_probabilities = prediction[top3_indices]\n",
        "\n",
        "    print(f\"Top 3 rozpoznane cyfry:\")\n",
        "    for i, (label, prob) in enumerate(zip(top3_indices, top3_probabilities)):\n",
        "        print(f\"{i + 1}. Cyfra: {label}, Prawdopodobieństwo: {prob:.4f}\")\n",
        "\n",
        "\n",
        "print(\"------------------------------------------------------------------\")\n",
        "for i, image in enumerate(images_to_check):\n",
        "    image_input = image.reshape(1, 28, 28, 1)\n",
        "    prediction = model.predict(image_input)[0]\n",
        "    predicted_digit = np.argmax(prediction)\n",
        "    true_label = np.argmax(labels_to_check[i])\n",
        "    plt.imshow(image.reshape(28, 28), cmap='gray')\n",
        "    plt.title(f\"Obraz z MNIST\")\n",
        "    plt.axis('off')\n",
        "    plt.show()\n",
        "    print((f\"Rozpoznana cyfra to: {predicted_digit}\"))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "0e2e8a0c-ad63-4b07-b12b-34b7c7f11d86",
        "id": "Ot5PxkXmOq1I"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 39ms/step\n",
            "Top 3 rozpoznane cyfry:\n",
            "1. Cyfra: 0, Prawdopodobieństwo: 0.9981\n",
            "2. Cyfra: 6, Prawdopodobieństwo: 0.0010\n",
            "3. Cyfra: 2, Prawdopodobieństwo: 0.0008\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 38ms/step\n",
            "Top 3 rozpoznane cyfry:\n",
            "1. Cyfra: 7, Prawdopodobieństwo: 1.0000\n",
            "2. Cyfra: 1, Prawdopodobieństwo: 0.0000\n",
            "3. Cyfra: 9, Prawdopodobieństwo: 0.0000\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 36ms/step\n",
            "Top 3 rozpoznane cyfry:\n",
            "1. Cyfra: 0, Prawdopodobieństwo: 1.0000\n",
            "2. Cyfra: 6, Prawdopodobieństwo: 0.0000\n",
            "3. Cyfra: 8, Prawdopodobieństwo: 0.0000\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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C6+U7BdgC3nzzzbjnnnvixBNP3NpTgQ3ynQJsRjU1NfHoo4/GjTfeGM2aNYsf/OAHW3tKsEGuFGAzevjhh+PEE0+MmpqamD59enTs2HFrTwk2yHcKACRXCgAkUQAgbfQXzf4HGgDbt435tsCVAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgCp6daeAJvWmDFj6j1mwoQJ9R7TpUuXeo9hy1u8eHG9x1RVVdV7zLRp0+o9hm2TKwUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACBVlFLKRu1YUbG558JnjB07tkHjqqurN/FMYPNoyAquEVZx/SI25u3elQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIF8bZRNTU1DRrXpUuXTTsR2MasWrWq3mPGjRtX7zGNcRE9C+IBUC+iAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQmm7tCbBu06dPb9C4CRMm1HvMrFmz6j1m1KhR9R7TkIXM+P/Gjx9f7zGTJk3aDDPZulq2bFnvMdXV1ZthJnU1hkX0XCkAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACBVlFLKRu1YUbG55wJspxrjYn0NWcBx3LhxDXquLbWQ3sa83btSACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAsiAesFU0ZBG9iG17Ib2GLKIXEdGqVatNPJN1syAeAPUiCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASFZJBbYrN910U73HjBkzZtNPZBPaUu+vVkkFoF5EAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgNd3aEwD+bxoyZEiDxh111FGbdiLU4koBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgDJgng0aGGy6urqeo/p0qVLvcfA9uT666/f2lP4wlwpAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgVZRSykbtWFGxuefCVlJTU1PvMRa3o7FryOJ248aN2wwz2XQ25u3elQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJCabu0JsPXdcMMN9R4zadKkzTAT2Dwa44qnm4srBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoApIpSStmoHSsqNvdcYLszfvz4eo+xmOAXs2rVqnqPacjidtOmTav3mG3dxrzdu1IAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAECyIB40Yhbs+5RF9D5lQTwA6kUUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSBfGAL6wxLry3pRbRi9hyC+lZEA+AehEFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYBkQTxgq2jIInoR2/ZCeg1ZRC8iolWrVpt4JutmQTwA6kUUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQGs0qqUOGDKn3mOrq6nqP6dKlS73HLF68uN5jqqqq6j0mImLatGkNGgfbi4asrrotr6waseXeX62SCkC9iAIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQGo0C+LV1NTUe0xDFrdrjLbUgn0W62NTaMjil/fdd99mmMmmY0E8ALZJogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkBrNgnjjx4+v95hJkyZthpmwPg1ZeC8i4rLLLqv3mOuvv75Bz0XDNGSRuurq6gY9V2NcyNKCeABsk0QBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACA1mgXxthQL7wHr09CFGMeNG7eJZ7JuFsQDoF5EAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgWRCvkbFgH2waDVncbkstbNdQFsQDoF5EAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIAySqpNEjLli3rPaa6urpBzzVmzJgGjaNxaoyrl24pVkkFoF5EAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgWRAP4P8IC+IBUC+iAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEhNN3bHUsrmnAcA2wBXCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgCk/wcrwab5E7VsGAAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 34ms/step\n",
            "Top 3 rozpoznane cyfry:\n",
            "1. Cyfra: 3, Prawdopodobieństwo: 0.9988\n",
            "2. Cyfra: 2, Prawdopodobieństwo: 0.0011\n",
            "3. Cyfra: 5, Prawdopodobieństwo: 0.0001\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 35ms/step\n",
            "Top 3 rozpoznane cyfry:\n",
            "1. Cyfra: 8, Prawdopodobieństwo: 0.9996\n",
            "2. Cyfra: 2, Prawdopodobieństwo: 0.0003\n",
            "3. Cyfra: 3, Prawdopodobieństwo: 0.0000\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 32ms/step\n",
            "Top 3 rozpoznane cyfry:\n",
            "1. Cyfra: 4, Prawdopodobieństwo: 0.5904\n",
            "2. Cyfra: 9, Prawdopodobieństwo: 0.4093\n",
            "3. Cyfra: 8, Prawdopodobieństwo: 0.0003\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 35ms/step\n",
            "Top 3 rozpoznane cyfry:\n",
            "1. Cyfra: 5, Prawdopodobieństwo: 0.9960\n",
            "2. Cyfra: 8, Prawdopodobieństwo: 0.0024\n",
            "3. Cyfra: 6, Prawdopodobieństwo: 0.0014\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 35ms/step\n",
            "Top 3 rozpoznane cyfry:\n",
            "1. Cyfra: 5, Prawdopodobieństwo: 0.9998\n",
            "2. Cyfra: 3, Prawdopodobieństwo: 0.0001\n",
            "3. Cyfra: 9, Prawdopodobieństwo: 0.0000\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 35ms/step\n",
            "Top 3 rozpoznane cyfry:\n",
            "1. Cyfra: 3, Prawdopodobieństwo: 0.9363\n",
            "2. Cyfra: 2, Prawdopodobieństwo: 0.0282\n",
            "3. Cyfra: 5, Prawdopodobieństwo: 0.0246\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 34ms/step\n",
            "Top 3 rozpoznane cyfry:\n",
            "1. Cyfra: 2, Prawdopodobieństwo: 1.0000\n",
            "2. Cyfra: 3, Prawdopodobieństwo: 0.0000\n",
            "3. Cyfra: 8, Prawdopodobieństwo: 0.0000\n",
            "------------------------------------------------------------------\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 36ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 7\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 32ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAGbCAYAAAAr/4yjAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAEhNJREFUeJzt3W2QVnXdwPHfxZMLFQQrIFkDiBqKoSWV48SDZKgDrUMpIjRTYzVgYjIimtSwzDgNieWkja3mYJPIU4pRPoxOU0HUiOU0wQxmoztQvYB4FAR0DDz3i/vmd7vuLuy53GVJPp8ZXux1nd85/2tfXN89Z/c6VIqiKAIAIqJLZy8AgBOHKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKNCuFixYEJVKJXbu3NnZSwGqIAoc06ZNm+JLX/pSnH766XHKKafEhz70oZg+fXps2rSps5d23A0ZMiQqlUpceumlLT7/4IMPRqVSiUqlEi+88EI+fiSWAwcOjIMHD7a430mTJjV5rFKpxKxZs5o8tmPHjrjpppti+PDh0bNnzxgwYEB86lOfittuuy32798fa9asyeMf6x+0pFtnL4AT2+OPPx7XXntt9OvXL7761a/G0KFDY8uWLbF48eJ47LHHYsWKFTF58uTOXuZxVVNTE7/73e9i27ZtcdpppzV5bunSpVFTUxNvvPFGi7Pbt2+PhoaGmDNnTunj7t69O0aNGhX79u2L6667LoYPHx67du2KjRs3RkNDQ1x//fVxzjnnxJIlS5rM3X777fH+978/vv3tb5c+JiehAlrxyiuvFL169SqGDx9ebN++vclzO3bsKIYPH168733vKxobG/Px+vr6IiKKHTt2lD7e4cOHi9dff/1dr7sjDR48uPjsZz9b9O7du/jhD3/Y5Ll//etfRZcuXYovfvGLRUQUf/7zn/O5I9+XCy64oBg4cGBx8ODBZvudOHFik8ciorjhhhvy60WLFhURUfzxj39stq69e/e2+r0bMWJEMXbs2LIvlZOUy0e06q677oqDBw/GT37yk+jfv3+T50499dR44IEH4sCBA7Fo0aJmszt37owpU6ZE7969o7a2Nm666aZmPz0fuTyydOnSGDFiRJxyyinxzDPPRETE97///bj44oujtrY2evbsGRdeeGE89thjTea/8pWvtHppZMGCBa2+rmrnjqipqYkvfOELsWzZsiaPL1++PPr27RuXXXZZq7Pz58+Pf//739HQ0HDM47xTY2NjdO3aNS666KJmz/Xu3TtqampK7xPeyeUjWvXEE0/EkCFDYvTo0S0+P2bMmBgyZEg89dRTzZ6bMmVKDBkyJBYuXBjr16+Pe++9N/bs2RMPP/xwk+1++9vfxs9//vOYNWtWnHrqqTFkyJCIiLjnnnuirq4upk+fHm+++WasWLEirr766njyySdj4sSJERExY8aMZtf2n3nmmVi6dGkMGDCg1ddV7dzbTZs2LSZMmBCNjY0xbNiwiIhYtmxZXHXVVdG9e/dW50aPHh3jx4+PRYsWxfXXXx89e/Zs0/EiIgYPHhyHDx+OJUuWxJe//OU2z0EpnX2qwonp1VdfLSKiuPLKK4+6XV1dXRERxb59+4qi+P/LJHV1dU22+8Y3vlFERLFhw4Z8LCKKLl26FJs2bWq233deXnnzzTeL8847rxg/fnyra3n55ZeLPn36FJ/73OeKQ4cOHeslVjV35DLPoUOHitNOO6244447iqIoihdffLGIiGLt2rXFT3/601YvH+3YsaNYu3ZtERHF3Xff3Wy/bxfvuHy0bdu2on///kVEFMOHDy9mzpxZLFu2rHj11VePumaXjyjD5SNa9Nprr0VExAc+8IGjbnfk+X379jV5/IYbbmjy9Y033hgREU8//XSTx8eOHRvnnntus/2+/SfoPXv2xN69e2P06NHxl7/8pcV1HDhwICZPnhx9+/aN5cuXR9euXY+67nc717Vr15gyZUosX748Iv73F8wf+chHWj2rersxY8bEJZdcEosWLYrXX3+9TceLiBg4cGBs2LAhZs6cGXv27In7778/pk2bFgMGDIg77rgjCv9fFu1AFGjRkTf7I3FoTWvxOOuss5p8PWzYsOjSpUts2bKlyeNDhw5tcb9PPvlkXHTRRVFTUxP9+vWL/v37R0NDQ+zdu7fF7b/+9a9HY2Nj/OIXv4ja2tqjrrk95iL+9xLSiy++GBs2bIhly5bF1KlT2/ynngsWLIht27bF/fffX+qYgwYNioaGhti6dWv8/e9/j3vvvTf69+8f8+fPj8WLF5faF7REFGhRnz59YtCgQbFx48ajbrdx48Y4/fTTo3fv3kfdrrU3y5auqa9bty7q6uqipqYmfvzjH8fTTz8dv/71r2PatGkt/jR8zz33xPLly+PBBx+MCy644KjraI+5Iz796U/HsGHDYvbs2bF58+aYNm1am2fHjBkT48aNK322cESlUomzzz47brzxxvj9738fXbp0iaVLl5beD7yTKNCqSZMmxebNm+MPf/hDi8+vW7cutmzZ0uxDVxERL7/8cpOvX3nllXjrrbfyF8lHs2rVqqipqYlnn302rrvuurjiiita/bDYunXr4pZbbonZs2fH9OnTj/2i3uXcO1177bWxZs2aOOecc0qH5cjZwgMPPFD18SMizjjjjOjbt29s3br1Xe0HIkSBo5g7d2707NkzZsyYEbt27Wry3O7du2PmzJnRq1evmDt3brPZ++67r8nXP/rRjyIi4oorrjjmcbt27RqVSiUOHz6cj23ZsiVWr17dZLutW7fGlClT4jOf+UzcddddbX1ZVc+15Gtf+1rU19fHD37wg9KzY8eOjXHjxsWdd97Z6ofd3u7555+PAwcONHv8T3/6U+zatSs++tGPll4DvJM/SaVVZ511VvzsZz+L6dOnx8c+9rFmn2jeuXNnLF++PP8k8+02b94cdXV1cfnll8dzzz0XjzzySEybNi3OP//8Yx534sSJcffdd8fll18e06ZNi+3bt8d9990XZ555ZpPLWd/85jdjx44dceutt8aKFSua7GPkyJExcuTIFvdf7VxLBg8e3KbPNrSmvr4+LrnkkjZtu2TJkli6dGlMnjw5LrzwwujRo0f87W9/i4ceeihqampi3rx5Va8DjhAFjurqq6+O4cOHx8KFCzMEtbW1cckll8S8efPivPPOa3Fu5cqVMX/+/PjWt74V3bp1i1mzZrX5p/Lx48fH4sWL43vf+17Mnj07hg4dGnfeeWds2bKlSRR27NgRhw8fjptvvrnZPurr61t9c692riOMGzcuxo4dG2vXrj3mtjNmzIhevXrFb37zm/jlL38Z+/bti/79+8eECRPi9ttvj49//OPHYcW811UKf8cGwP/xOwUAkigAkEQBgCQKACRRACCJAgCpzZ9T8H+6Avx3a8snEJwpAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQOrW2Qvgv9Mtt9xSeqZnz55VHWvkyJGlZ6666qqqjlVWQ0ND6ZnnnnuuqmMtWbKkqjkow5kCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQBSpSiKok0bViodvRY6ycqVK0vPHK8bzr0XNTY2VjV36aWXlp755z//WdWxeG9qy9u9MwUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKAKRunb0A2td78eZ2L730UumZZ599tvTMGWecUXrm85//fOmZYcOGlZ6JiJg+fXrpmYULF1Z1LE5ezhQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJDcEO8ENWrUqKrmJk+e3M4radmmTZtKz9TV1VV1rJ07d5ae2b9/f+mZHj16lJ5Zv3596Znzzz+/9ExERG1tbVVzUIYzBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJDfEO0ENGjSoqrlKpVJ6ppqb21122WWlZ7Zu3Vp65niaM2dO6Zlzzz23A1bSsqeeeuq4HYuTlzMFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAguUvqCeqJJ56oau7MM88sPfPaa6+Vntm9e3fpmRPd1KlTS8907969A1YCnceZAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkhvivcf84x//6OwlnBDmzp1beubss8/ugJU09/zzzx/XOSjDmQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAFKlKIqiTRtWKh29FmjRpEmTSs88+uijpWd69OhRemb79u2lZ6ZOnVp6JiJi7dq1Vc3BEW15u3emAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGA1K2zFwDHMmrUqNIz1dzcrhorV64sPePGdpzInCkAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgDJXVI5blavXl3V3IQJE9p3Ia14+OGHS8985zvf6YCVQOdxpgBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgFQpiqJo04aVSkevhf8igwYNKj2zYcOGqo5VW1tbembnzp2lZy6++OLSM42NjaVnoLO05e3emQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIASRQASKIAQBIFAFK3zl4A/51WrVpVeqaaG9tV65FHHik94+Z24EwBgLcRBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGA5IZ4RF1dXemZT3ziEx2wkpatWbOm9Ex9fX37LwROAs4UAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQ3BDvPaa2trb0zLx580rPdO/evfRMtf7617+Wntm/f3/7LwROAs4UAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGA5C6p7zFz5swpPfPJT36yA1bS3OrVq6uaq6+vb9+FAK1ypgBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgFQpiqJo04aVSkevhXbwxhtvlJ7p3r17B6ykuQ9/+MNVzW3durWdVwInp7a83TtTACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBA6tbZC+Dk0a9fv6rm/vOf/7TzSjrX3r17q5qr5vtQzc0O+/TpU3qmGh/84Aermrv55pvbdyHt6PDhw1XN3XbbbaVnDh48WNWxjsWZAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkhvicdxs3Lixs5dwQnj00Uermtu6dWvpmYEDB5aeueaaa0rP8O5s27at9Mx3v/vdDliJMwUA3kYUAEiiAEASBQCSKACQRAGAJAoAJFEAIIkCAEkUAEiiAEASBQBSpSiKok0bViodvRbaweOPP1565sorr+yAlXAyOXToUOmZt956qwNW0rJf/epXpWdeeOGFDlhJy9atW1d6Zv369aVn2vJ270wBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABI7pJK3HrrraVnunfv3gEraT8jRowoPXPNNdd0wEraz0MPPVR6ZsuWLe2/kBasWrWq9MxLL73UASvhaNwlFYBSRAGAJAoAJFEAIIkCAEkUAEiiAEASBQCSKACQRAGAJAoAJFEAILkhHsBJwg3xAChFFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgBJFABIogBAEgUAkigAkEQBgCQKACRRACCJAgCpW1s3LIqiI9cBwAnAmQIASRQASKIAQBIFAJIoAJBEAYAkCgAkUQAgiQIA6X8A+vXpaeBkzToAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 2\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 31ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 1\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 38ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 0\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 39ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 4\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 34ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 1\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 33ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 4\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 33ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 9\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 38ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 5\n",
            "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 41ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rozpoznana cyfra to: 9\n"
          ]
        }
      ]
    }
  ]
}