changed dataset

Author: slolla

lab3/solutions/Lab3_Bias_And_Uncertainty.ipynb

@@ -19,28 +19,28 @@
     },
     {
       "cell_type": "code",
-      "source": [
-        "!git clone https://github.com/slolla/capsa-intro-deep-learning.git\n",
-        "!cd capsa-intro-deep-learning/ && git checkout HistogramVAEWrapper\n"
-      ],
+      "execution_count": 1,
       "metadata": {
-        "id": "5Ll7uZ8q72hm",
-        "outputId": "56b3117b-e344-481b-a9fc-2798b76d7a60",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "5Ll7uZ8q72hm",
+        "outputId": "56b3117b-e344-481b-a9fc-2798b76d7a60"
       },
-      "execution_count": 1,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "fatal: destination path 'capsa-intro-deep-learning' already exists and is not an empty directory.\n",
             "Already on 'HistogramVAEWrapper'\n",
             "Your branch is up to date with 'origin/HistogramVAEWrapper'.\n"
           ]
         }
+      ],
+      "source": [
+        "!git clone https://github.com/slolla/capsa-intro-deep-learning.git\n",
+        "!cd capsa-intro-deep-learning/ && git checkout HistogramVAEWrapper\n"
       ]
     },
     {
@@ -54,23 +54,18 @@
     },
     {
       "cell_type": "code",
-      "source": [
-        "%cd capsa-intro-deep-learning/\n",
-        "%pip install -e .\n",
-        "%cd .."
-      ],
+      "execution_count": 2,
       "metadata": {
-        "id": "SjAn-WZK9lOv",
-        "outputId": "35e24600-85b4-4320-c436-061856e56861",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "SjAn-WZK9lOv",
+        "outputId": "35e24600-85b4-4320-c436-061856e56861"
       },
-      "execution_count": 2,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "/content/capsa-intro-deep-learning\n",
             "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
@@ -85,29 +80,27 @@
             "/content\n"
           ]
         }
+      ],
+      "source": [
+        "%cd capsa-intro-deep-learning/\n",
+        "%pip install -e .\n",
+        "%cd .."
       ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "!git clone https://github.com/aamini/introtodeeplearning.git\n",
-        "!cd introtodeeplearning/ && git checkout 2023\n",
-        "%cd introtodeeplearning/\n",
-        "%pip install -e .\n",
-        "%cd .."
-      ],
+      "execution_count": 3,
       "metadata": {
-        "id": "3pzGVPrh-4LQ",
-        "outputId": "f4588f12-d290-4746-d819-501a0e3ba390",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "3pzGVPrh-4LQ",
+        "outputId": "f4588f12-d290-4746-d819-501a0e3ba390"
       },
-      "execution_count": 3,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "fatal: destination path 'introtodeeplearning' already exists and is not an empty directory.\n",
             "Already on '2023'\n",
@@ -133,6 +126,13 @@
             "/content\n"
           ]
         }
+      ],
+      "source": [
+        "!git clone https://github.com/aamini/introtodeeplearning.git\n",
+        "!cd introtodeeplearning/ && git checkout 2023\n",
+        "%cd introtodeeplearning/\n",
+        "%pip install -e .\n",
+        "%cd .."
       ]
     },
     {
@@ -182,16 +182,16 @@
       "cell_type": "code",
       "execution_count": 7,
       "metadata": {
-        "id": "HIA6EA1D71EW",
-        "outputId": "df98738c-00d5-4987-bd58-938dd17c8ef4",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "HIA6EA1D71EW",
+        "outputId": "df98738c-00d5-4987-bd58-938dd17c8ef4"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Opening /root/.keras/datasets/train_face_2023_v2.h5\n",
             "Loading data into memory...\n",
@@ -204,10 +204,11 @@
         "batch_size = 32\n",
         "\n",
         "# Get the training data: both images from CelebA and ImageNet\n",
-        "path_to_training_data = tf.keras.utils.get_file('train_face_2023_v2.h5', 'https://www.dropbox.com/s/b5z1cd317y5u1tr/train_face_2023_v2.h5?dl=1')\n",
+        "path_to_training_data = tf.keras.utils.get_file('train_face_perturbed_small.h5', 'https://www.dropbox.com/s/tbra3danrk5x8h5/train_face_2023_perturbed_small.h5?dl=1')\n",
         "# Instantiate a DatasetLoader using the downloaded dataset\n",
         "train_loader = lab3.DatasetLoader(path_to_training_data, training=True, batch_size= batch_size)\n",
-        "test_loader = lab3.DatasetLoader(path_to_training_data, training=False, batch_size = batch_size)"
+        "test_loader = lab3.DatasetLoader(path_to_training_data, training=False, batch_size = batch_size)\n",
+        "train_imgs = train_loader.get_all_faces()"
       ]
     },
     {
@@ -367,31 +368,31 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "NmshVdLM71Ed",
-        "outputId": "48155283-4767-46e7-e84b-dfd3ac8c1917",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "id": "NmshVdLM71Ed",
+        "outputId": "48155283-4767-46e7-e84b-dfd3ac8c1917"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Epoch 1/6\n"
           ]
         },
         {
-          "output_type": "stream",
           "name": "stderr",
+          "output_type": "stream",
           "text": [
             "WARNING:tensorflow:Gradients do not exist for variables ['dense_1/kernel:0', 'dense_1/bias:0'] when minimizing the loss. If you're using `model.compile()`, did you forget to provide a `loss`argument?\n",
             "WARNING:tensorflow:Gradients do not exist for variables ['dense_1/kernel:0', 'dense_1/bias:0'] when minimizing the loss. If you're using `model.compile()`, did you forget to provide a `loss`argument?\n"
           ]
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             " 102/2404 [>.............................] - ETA: 5:58 - vae_compiled_loss: 0.8147 - vae_compiled_binary_accuracy: 0.4792 - vae_wrapper_loss: 3385.2124"
           ]
@@ -707,8 +708,7 @@
         "dbvae = HistogramVAEWrapper(standard_classifier, latent_dim=100, num_bins=5, queue_size=2000, decoder=make_face_decoder_network())\n",
         "dbvae.compile(optimizer=tf.keras.optimizers.Adam(1e-4),\n",
         "            loss=tf.keras.losses.BinaryCrossentropy(),\n",
-        "            metrics=[tf.keras.metrics.BinaryAccuracy()])\n",
-        "train_imgs = train_loader.get_all_faces()"
+        "            metrics=[tf.keras.metrics.BinaryAccuracy()])"
       ]
     },
     {
@@ -832,6 +832,11 @@
     }
   ],
   "metadata": {
+    "accelerator": "GPU",
+    "colab": {
+      "provenance": []
+    },
+    "gpuClass": "standard",
     "kernelspec": {
       "display_name": "Python 3",
       "language": "python",
@@ -848,13 +853,8 @@
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
       "version": "3.8.10"
-    },
-    "colab": {
-      "provenance": []
-    },
-    "accelerator": "GPU",
-    "gpuClass": "standard"
+    }
   },
   "nbformat": 4,
   "nbformat_minor": 0
-}
+}