changes

PythonAI/JupyterLab/PythonAI_5.ipynb

@@ -1897,7 +1897,9 @@
   {
    "cell_type": "markdown",
    "id": "2c041416-51ff-4b9e-bb4d-c3431fa870e7",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "# Dzień 6 - 20.05.2025"
    ]
@@ -1905,7 +1907,9 @@
   {
    "cell_type": "markdown",
    "id": "cd20cae1-be7f-49ee-b112-15f4cd9cfc6f",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "# CNN - Convolutional Neural Network\n",
     "## zalety \n",
@@ -2364,7 +2368,9 @@
   {
    "cell_type": "markdown",
    "id": "44cc5989-0cf6-49d1-8307-b9e4d2a1bbd5",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "# PyTorch"
    ]
@@ -2677,7 +2683,9 @@
   {
    "cell_type": "markdown",
    "id": "01db7828-0e98-45b9-b332-9d86a148f3cc",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "# Sieć YOLO\n",
     "algorytm/sieć YOLO służy do rozpoznawania obiektów znajdujących się na zdjęciach\n",
@@ -2690,6 +2698,95 @@
    "id": "a27ad14f-3a79-46d0-bfa6-154f85e9513a",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "from ultralytics import YOLO\n",
+    "\n",
+    "model = YOLO(\"yolo11n.pt\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "031a2a4a-bf53-4c6a-84dd-1e8cacb8ca94",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "result = model.predict('https://shropshiremammalgroup.com/wp-content/uploads/2020/05/wild-boar-forest-of-dean-robin-bennett-3.jpg?w=1024')\n",
+    "print(result)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6ddb0744-22b9-4c2c-bc53-d6d8c02bd83c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from PIL import Image\n",
+    "\n",
+    "Image.fromarray(result[0].plot())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ec06874f-c48a-43ce-b44e-364e4ed5ee37",
+   "metadata": {},
+   "source": [
+    "# RNN - Recurrent Neural Network"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "9bde4f30-f26c-4b37-bfa6-8b64460fe13d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tensorflow as tf\n",
+    "from tensorflow.keras.models import Sequential\n",
+    "from tensorflow.keras.layers import SimpleRNN, Embedding, Dense"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "d2e9da87-1912-466f-b902-e45130d8fd32",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vocab_size = 10000\n",
+    "embedding_dim = 64\n",
+    "sequence_length = 100"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "88156e8c-3c2a-467e-a018-a09c0f292de0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/sasza/.local/share/virtualenvs/JupyterLab-9JRWupKp/lib/python3.12/site-packages/keras/src/layers/core/embedding.py:97: UserWarning: Argument `input_length` is deprecated. Just remove it.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "model = Sequential()\n",
+    "model.add(Embedding(vocab_size, embedding_dim, input_length=sequence_length))\n",
+    "model.add(SimpleRNN(128))\n",
+    "model.add(Dense(1,activation='sigmoid'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f976e119-8888-4316-a1b8-2352f74c42e8",
+   "metadata": {},
+   "outputs": [],
    "source": []
   }
  ],