{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Deep Learning Models -- A collection of various deep learning architectures, models, and tips for TensorFlow and PyTorch in Jupyter Notebooks.\n", "- Author: Sebastian Raschka\n", "- GitHub Repository: https://github.com/rasbt/deeplearning-models" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Sebastian Raschka \n", "\n", "CPython 3.7.3\n", "IPython 7.9.0\n", "\n", "torch 1.4.0\n" ] } ], "source": [ "%load_ext watermark\n", "%watermark -a 'Sebastian Raschka' -v -p torch" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- Runs on CPU or GPU (if available)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# VGG16 Convolutional Neural Network for Kaggle's Cats and Dogs Images" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Implementation of the VGG-16 [1] architecture for training a dogs vs cats classifier.\n", "\n", "References\n", "\n", "- [1] Simonyan, K., & Zisserman, A. (2014). Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Imports" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import time\n", "import os\n", "\n", "import numpy as np\n", "\n", "import torch\n", "import torch.nn.functional as F\n", "import torch.nn as nn\n", "\n", "\n", "from torch.utils.data import Dataset\n", "from torch.utils.data import DataLoader\n", "from torchvision import transforms\n", "\n", "from PIL import Image\n", "import matplotlib.pyplot as plt\n", "\n", "\n", "if torch.cuda.is_available():\n", " torch.backends.cudnn.deterministic = True" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Settings" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "##########################\n", "### SETTINGS\n", "##########################\n", "\n", "# Device\n", "DEVICE = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n", "\n", "# Hyperparameters\n", "RANDOM_SEED = 1\n", "LEARNING_RATE = 0.001\n", "NUM_EPOCHS = 50\n", "BATCH_SIZE = 128\n", "\n", "# Architecture\n", "NUM_CLASSES = 2" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Cats vs Dogs Dataset" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Download the Kaggle Cats and Dogs Dataset from https://www.kaggle.com/c/dogs-vs-cats/data by clicking on the \"Download All\" link:\n", "\n", "![](images/cats-and-dogs-download-all.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Then, unzip the dataset." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The dataset folder consists of two subfolders, `train`, and `test1`, which contain the training and test images in jpg format, respectively. Note that the test set examples are unlabeled." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```python\n", "\n", "import os\n", "\n", "num_train_cats = len([i for i in os.listdir(os.path.join('dogs-vs-cats', 'train')) \n", " if i.endswith('.jpg') and i.startswith('cat')])\n", "\n", "num_train_dogs = len([i for i in os.listdir(os.path.join('dogs-vs-cats', 'train')) \n", " if i.endswith('.jpg') and i.startswith('dog')])\n", " \n", "print(f'Training set cats: {num_train_cats}')\n", "print(f'Training set dogs: {num_train_dogs}')\n", "\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The naming scheme within each of these subfolders is `..jpg`." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(331, 464, 3)\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "img = Image.open(os.path.join('dogs-vs-cats','train', 'cat.59.jpg'))\n", "print(np.asarray(img, dtype=np.uint8).shape)\n", "plt.imshow(img);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Creating Validation and Test Subsets" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- Move 2500 images from the training folder into a test set folder\n", "- Move 2500 images from the training folder into a validation set folder" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "if not os.path.exists(os.path.join('dogs-vs-cats', 'test')):\n", " os.mkdir(os.path.join('dogs-vs-cats', 'test'))\n", "\n", "if not os.path.exists(os.path.join('dogs-vs-cats', 'valid')):\n", " os.mkdir(os.path.join('dogs-vs-cats', 'valid'))" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "for fname in os.listdir(os.path.join('dogs-vs-cats', 'train')):\n", " if not fname.endswith('.jpg'):\n", " continue\n", " _, img_num, _ = fname.split('.')\n", " filepath = os.path.join('dogs-vs-cats', 'train', fname)\n", " img_num = int(img_num)\n", " if img_num > 11249:\n", " os.rename(filepath, filepath.replace('train', 'test'))\n", " elif img_num > 9999:\n", " os.rename(filepath, filepath.replace('train', 'valid'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Standardizing Images" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Getting mean and standard deviation for normalizing images via z-score normalization. For details, see the related notebook [./cnn-standardized.ipynb](cnn-standardized.ipynb)." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mean: tensor([0.4875, 0.4544, 0.4164])\n", "Std Dev: tensor([0.2521, 0.2453, 0.2481])\n" ] } ], "source": [ "class CatsDogsDataset(Dataset):\n", " \"\"\"Custom Dataset for loading CelebA face images\"\"\"\n", "\n", " def __init__(self, img_dir, transform=None):\n", " \n", " self.img_dir = img_dir\n", " \n", " self.img_names = [i for i in \n", " os.listdir(img_dir) \n", " if i.endswith('.jpg')]\n", " \n", " self.y = []\n", " for i in self.img_names:\n", " if i.split('.')[0] == 'cat':\n", " self.y.append(0)\n", " else:\n", " self.y.append(1)\n", " \n", " self.transform = transform\n", "\n", " def __getitem__(self, index):\n", " img = Image.open(os.path.join(self.img_dir,\n", " self.img_names[index]))\n", " \n", " if self.transform is not None:\n", " img = self.transform(img)\n", " \n", " label = self.y[index]\n", " return img, label\n", "\n", " def __len__(self):\n", " return len(self.y)\n", "\n", " \n", "\n", "custom_transform1 = transforms.Compose([transforms.Resize([64, 64]),\n", " transforms.ToTensor()])\n", "\n", "train_dataset = CatsDogsDataset(img_dir=os.path.join('dogs-vs-cats', 'train'), \n", " transform=custom_transform1)\n", "\n", "train_loader = DataLoader(dataset=train_dataset, \n", " batch_size=5000, \n", " shuffle=False)\n", "\n", "train_mean = []\n", "train_std = []\n", "\n", "for i, image in enumerate(train_loader, 0):\n", " numpy_image = image[0].numpy()\n", " \n", " batch_mean = np.mean(numpy_image, axis=(0, 2, 3))\n", " batch_std = np.std(numpy_image, axis=(0, 2, 3))\n", " \n", " train_mean.append(batch_mean)\n", " train_std.append(batch_std)\n", "\n", "train_mean = torch.tensor(np.mean(train_mean, axis=0))\n", "train_std = torch.tensor(np.mean(train_std, axis=0))\n", "\n", "print('Mean:', train_mean)\n", "print('Std Dev:', train_std)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Dataloaders" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "data_transforms = {\n", " 'train': transforms.Compose([\n", " transforms.RandomRotation(5),\n", " transforms.RandomHorizontalFlip(),\n", " transforms.RandomResizedCrop(64, scale=(0.96, 1.0), ratio=(0.95, 1.05)),\n", " transforms.ToTensor(),\n", " transforms.Normalize(train_mean, train_std)\n", " ]),\n", " 'valid': transforms.Compose([\n", " transforms.Resize([64, 64]),\n", " transforms.ToTensor(),\n", " transforms.Normalize(train_mean, train_std)\n", " ]),\n", "}\n", "\n", "\n", "train_dataset = CatsDogsDataset(img_dir=os.path.join('dogs-vs-cats', 'train'), \n", " transform=data_transforms['train'])\n", "\n", "train_loader = DataLoader(dataset=train_dataset, \n", " batch_size=BATCH_SIZE,\n", " drop_last=True,\n", " shuffle=True)\n", "\n", "valid_dataset = CatsDogsDataset(img_dir=os.path.join('dogs-vs-cats', 'valid'), \n", " transform=data_transforms['valid'])\n", "\n", "valid_loader = DataLoader(dataset=valid_dataset, \n", " batch_size=BATCH_SIZE, \n", " shuffle=False)\n", "\n", "test_dataset = CatsDogsDataset(img_dir=os.path.join('dogs-vs-cats', 'test'), \n", " transform=data_transforms['valid'])\n", "\n", "test_loader = DataLoader(dataset=test_dataset, \n", " batch_size=BATCH_SIZE, \n", " shuffle=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Import VGG16 network from [./vgg16.py](./vgg16.py)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "from vgg16 import VGG16" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "torch.manual_seed(RANDOM_SEED)\n", "model = VGG16(num_classes=NUM_CLASSES)\n", "\n", "model = model.to(DEVICE)\n", "\n", "optimizer = torch.optim.Adam(model.parameters(), lr=LEARNING_RATE)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Training" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch: 001/050 | Batch 000/156 | Cost: 1727.7655\n", "Epoch: 001/050 | Batch 050/156 | Cost: 0.6774\n", "Epoch: 001/050 | Batch 100/156 | Cost: 0.7066\n", "Epoch: 001/050 | Batch 150/156 | Cost: 0.6459\n", "Epoch: 001/050 Train Acc.: 59.83% | Validation Acc.: 59.92%\n", "Time elapsed: 3.06 min\n", "Epoch: 002/050 | Batch 000/156 | Cost: 0.6448\n", "Epoch: 002/050 | Batch 050/156 | Cost: 0.6621\n", "Epoch: 002/050 | Batch 100/156 | Cost: 0.6263\n", "Epoch: 002/050 | Batch 150/156 | Cost: 0.6378\n", "Epoch: 002/050 Train Acc.: 59.50% | Validation Acc.: 58.40%\n", "Time elapsed: 6.12 min\n", "Epoch: 003/050 | Batch 000/156 | Cost: 0.6844\n", "Epoch: 003/050 | Batch 050/156 | Cost: 0.6173\n", "Epoch: 003/050 | Batch 100/156 | Cost: 0.6341\n", "Epoch: 003/050 | Batch 150/156 | Cost: 0.7188\n", "Epoch: 003/050 Train Acc.: 56.50% | Validation Acc.: 55.24%\n", "Time elapsed: 9.18 min\n", "Epoch: 004/050 | Batch 000/156 | Cost: 0.7111\n", "Epoch: 004/050 | Batch 050/156 | Cost: 0.5603\n", "Epoch: 004/050 | Batch 100/156 | Cost: 0.5831\n", "Epoch: 004/050 | Batch 150/156 | Cost: 0.6363\n", "Epoch: 004/050 Train Acc.: 65.92% | Validation Acc.: 63.88%\n", "Time elapsed: 12.25 min\n", "Epoch: 005/050 | Batch 000/156 | Cost: 0.6359\n", "Epoch: 005/050 | Batch 050/156 | Cost: 0.6415\n", "Epoch: 005/050 | Batch 100/156 | Cost: 0.6266\n", "Epoch: 005/050 | Batch 150/156 | Cost: 0.5450\n", "Epoch: 005/050 Train Acc.: 63.92% | Validation Acc.: 61.56%\n", "Time elapsed: 15.32 min\n", "Epoch: 006/050 | Batch 000/156 | Cost: 0.6179\n", "Epoch: 006/050 | Batch 050/156 | Cost: 0.5856\n", "Epoch: 006/050 | Batch 100/156 | Cost: 0.5835\n", "Epoch: 006/050 | Batch 150/156 | Cost: 0.6508\n", "Epoch: 006/050 Train Acc.: 70.94% | Validation Acc.: 69.96%\n", "Time elapsed: 18.39 min\n", "Epoch: 007/050 | Batch 000/156 | Cost: 0.5410\n", "Epoch: 007/050 | Batch 050/156 | Cost: 0.5818\n", "Epoch: 007/050 | Batch 100/156 | Cost: 0.5670\n", "Epoch: 007/050 | Batch 150/156 | Cost: 0.5955\n", "Epoch: 007/050 Train Acc.: 71.97% | Validation Acc.: 71.12%\n", "Time elapsed: 21.46 min\n", "Epoch: 008/050 | Batch 000/156 | Cost: 0.5975\n", "Epoch: 008/050 | Batch 050/156 | Cost: 0.6182\n", "Epoch: 008/050 | Batch 100/156 | Cost: 0.5443\n", "Epoch: 008/050 | Batch 150/156 | Cost: 0.5944\n", "Epoch: 008/050 Train Acc.: 72.21% | Validation Acc.: 70.16%\n", "Time elapsed: 24.53 min\n", "Epoch: 009/050 | Batch 000/156 | Cost: 0.5629\n", "Epoch: 009/050 | Batch 050/156 | Cost: 0.4724\n", "Epoch: 009/050 | Batch 100/156 | Cost: 0.5216\n", "Epoch: 009/050 | Batch 150/156 | Cost: 0.5236\n", "Epoch: 009/050 Train Acc.: 74.53% | Validation Acc.: 72.60%\n", "Time elapsed: 27.60 min\n", "Epoch: 010/050 | Batch 000/156 | Cost: 0.5199\n", "Epoch: 010/050 | Batch 050/156 | Cost: 0.5202\n", "Epoch: 010/050 | Batch 100/156 | Cost: 0.5996\n", "Epoch: 010/050 | Batch 150/156 | Cost: 0.5339\n", "Epoch: 010/050 Train Acc.: 75.15% | Validation Acc.: 72.72%\n", "Time elapsed: 30.67 min\n", "Epoch: 011/050 | Batch 000/156 | Cost: 0.5022\n", "Epoch: 011/050 | Batch 050/156 | Cost: 0.5535\n", "Epoch: 011/050 | Batch 100/156 | Cost: 0.5446\n", "Epoch: 011/050 | Batch 150/156 | Cost: 0.5467\n", "Epoch: 011/050 Train Acc.: 74.81% | Validation Acc.: 72.64%\n", "Time elapsed: 33.73 min\n", "Epoch: 012/050 | Batch 000/156 | Cost: 0.4835\n", "Epoch: 012/050 | Batch 050/156 | Cost: 0.4539\n", "Epoch: 012/050 | Batch 100/156 | Cost: 0.4471\n", "Epoch: 012/050 | Batch 150/156 | Cost: 0.5040\n", "Epoch: 012/050 Train Acc.: 76.45% | Validation Acc.: 74.52%\n", "Time elapsed: 36.79 min\n", "Epoch: 013/050 | Batch 000/156 | Cost: 0.5212\n", "Epoch: 013/050 | Batch 050/156 | Cost: 0.5246\n", "Epoch: 013/050 | Batch 100/156 | Cost: 0.4334\n", "Epoch: 013/050 | Batch 150/156 | Cost: 0.5233\n", "Epoch: 013/050 Train Acc.: 77.61% | Validation Acc.: 77.04%\n", "Time elapsed: 39.85 min\n", "Epoch: 014/050 | Batch 000/156 | Cost: 0.3797\n", "Epoch: 014/050 | Batch 050/156 | Cost: 0.5047\n", "Epoch: 014/050 | Batch 100/156 | Cost: 0.3412\n", "Epoch: 014/050 | Batch 150/156 | Cost: 0.5275\n", "Epoch: 014/050 Train Acc.: 75.56% | Validation Acc.: 73.60%\n", "Time elapsed: 42.91 min\n", "Epoch: 015/050 | Batch 000/156 | Cost: 0.4431\n", "Epoch: 015/050 | Batch 050/156 | Cost: 0.4629\n", "Epoch: 015/050 | Batch 100/156 | Cost: 0.5703\n", "Epoch: 015/050 | Batch 150/156 | Cost: 0.5427\n", "Epoch: 015/050 Train Acc.: 78.43% | Validation Acc.: 76.96%\n", "Time elapsed: 45.96 min\n", "Epoch: 016/050 | Batch 000/156 | Cost: 0.4002\n", "Epoch: 016/050 | Batch 050/156 | Cost: 0.4861\n", "Epoch: 016/050 | Batch 100/156 | Cost: 0.4794\n", "Epoch: 016/050 | Batch 150/156 | Cost: 0.4092\n", "Epoch: 016/050 Train Acc.: 80.07% | Validation Acc.: 76.68%\n", "Time elapsed: 49.01 min\n", "Epoch: 017/050 | Batch 000/156 | Cost: 0.4498\n", "Epoch: 017/050 | Batch 050/156 | Cost: 0.4849\n", "Epoch: 017/050 | Batch 100/156 | Cost: 0.4650\n", "Epoch: 017/050 | Batch 150/156 | Cost: 0.4565\n", "Epoch: 017/050 Train Acc.: 77.49% | Validation Acc.: 76.60%\n", "Time elapsed: 52.07 min\n", "Epoch: 018/050 | Batch 000/156 | Cost: 0.4497\n", "Epoch: 018/050 | Batch 050/156 | Cost: 0.4175\n", "Epoch: 018/050 | Batch 100/156 | Cost: 0.4593\n", "Epoch: 018/050 | Batch 150/156 | Cost: 0.3724\n", "Epoch: 018/050 Train Acc.: 81.77% | Validation Acc.: 79.08%\n", "Time elapsed: 55.12 min\n", "Epoch: 019/050 | Batch 000/156 | Cost: 0.4697\n", "Epoch: 019/050 | Batch 050/156 | Cost: 0.4032\n", "Epoch: 019/050 | Batch 100/156 | Cost: 0.4146\n", "Epoch: 019/050 | Batch 150/156 | Cost: 0.4392\n", "Epoch: 019/050 Train Acc.: 77.89% | Validation Acc.: 76.76%\n", "Time elapsed: 58.17 min\n", "Epoch: 020/050 | Batch 000/156 | Cost: 0.5338\n", "Epoch: 020/050 | Batch 050/156 | Cost: 0.3582\n", "Epoch: 020/050 | Batch 100/156 | Cost: 0.4026\n", "Epoch: 020/050 | Batch 150/156 | Cost: 0.4269\n", "Epoch: 020/050 Train Acc.: 83.10% | Validation Acc.: 78.72%\n", "Time elapsed: 61.22 min\n", "Epoch: 021/050 | Batch 000/156 | Cost: 0.3744\n", "Epoch: 021/050 | Batch 050/156 | Cost: 0.3567\n", "Epoch: 021/050 | Batch 100/156 | Cost: 0.4666\n", "Epoch: 021/050 | Batch 150/156 | Cost: 0.4098\n", "Epoch: 021/050 Train Acc.: 81.87% | Validation Acc.: 78.12%\n", "Time elapsed: 64.27 min\n", "Epoch: 022/050 | Batch 000/156 | Cost: 0.4135\n", "Epoch: 022/050 | Batch 050/156 | Cost: 0.3833\n", "Epoch: 022/050 | Batch 100/156 | Cost: 0.3784\n", "Epoch: 022/050 | Batch 150/156 | Cost: 0.3799\n", "Epoch: 022/050 Train Acc.: 84.50% | Validation Acc.: 80.68%\n", "Time elapsed: 67.32 min\n", "Epoch: 023/050 | Batch 000/156 | Cost: 0.3161\n", "Epoch: 023/050 | Batch 050/156 | Cost: 0.3088\n", "Epoch: 023/050 | Batch 100/156 | Cost: 0.3796\n", "Epoch: 023/050 | Batch 150/156 | Cost: 0.4143\n", "Epoch: 023/050 Train Acc.: 85.11% | Validation Acc.: 80.84%\n", "Time elapsed: 70.37 min\n", "Epoch: 024/050 | Batch 000/156 | Cost: 0.2650\n", "Epoch: 024/050 | Batch 050/156 | Cost: 0.3859\n", "Epoch: 024/050 | Batch 100/156 | Cost: 0.2968\n", "Epoch: 024/050 | Batch 150/156 | Cost: 0.2736\n", "Epoch: 024/050 Train Acc.: 81.17% | Validation Acc.: 78.52%\n", "Time elapsed: 73.43 min\n", "Epoch: 025/050 | Batch 000/156 | Cost: 0.3956\n", "Epoch: 025/050 | Batch 050/156 | Cost: 0.3541\n", "Epoch: 025/050 | Batch 100/156 | Cost: 0.4375\n", "Epoch: 025/050 | Batch 150/156 | Cost: 0.2759\n", "Epoch: 025/050 Train Acc.: 83.86% | Validation Acc.: 81.00%\n", "Time elapsed: 76.48 min\n", "Epoch: 026/050 | Batch 000/156 | Cost: 0.2795\n", "Epoch: 026/050 | Batch 050/156 | Cost: 0.2920\n", "Epoch: 026/050 | Batch 100/156 | Cost: 0.3900\n", "Epoch: 026/050 | Batch 150/156 | Cost: 0.2707\n", "Epoch: 026/050 Train Acc.: 85.78% | Validation Acc.: 82.36%\n", "Time elapsed: 79.53 min\n", "Epoch: 027/050 | Batch 000/156 | Cost: 0.3185\n", "Epoch: 027/050 | Batch 050/156 | Cost: 0.3466\n", "Epoch: 027/050 | Batch 100/156 | Cost: 0.3422\n", "Epoch: 027/050 | Batch 150/156 | Cost: 0.3484\n", "Epoch: 027/050 Train Acc.: 85.71% | Validation Acc.: 79.76%\n", "Time elapsed: 82.59 min\n", "Epoch: 028/050 | Batch 000/156 | Cost: 0.3090\n", "Epoch: 028/050 | Batch 050/156 | Cost: 0.2154\n", "Epoch: 028/050 | Batch 100/156 | Cost: 0.3072\n", "Epoch: 028/050 | Batch 150/156 | Cost: 0.4001\n", "Epoch: 028/050 Train Acc.: 87.43% | Validation Acc.: 81.84%\n", "Time elapsed: 85.64 min\n", "Epoch: 029/050 | Batch 000/156 | Cost: 0.2711\n", "Epoch: 029/050 | Batch 050/156 | Cost: 0.3003\n", "Epoch: 029/050 | Batch 100/156 | Cost: 0.3143\n", "Epoch: 029/050 | Batch 150/156 | Cost: 0.3214\n", "Epoch: 029/050 Train Acc.: 88.26% | Validation Acc.: 83.20%\n", "Time elapsed: 88.70 min\n", "Epoch: 030/050 | Batch 000/156 | Cost: 0.3127\n", "Epoch: 030/050 | Batch 050/156 | Cost: 0.3753\n", "Epoch: 030/050 | Batch 100/156 | Cost: 0.3862\n", "Epoch: 030/050 | Batch 150/156 | Cost: 0.2996\n", "Epoch: 030/050 Train Acc.: 87.50% | Validation Acc.: 81.84%\n", "Time elapsed: 91.75 min\n", "Epoch: 031/050 | Batch 000/156 | Cost: 0.3182\n", "Epoch: 031/050 | Batch 050/156 | Cost: 0.4144\n", "Epoch: 031/050 | Batch 100/156 | Cost: 0.3276\n", "Epoch: 031/050 | Batch 150/156 | Cost: 0.3632\n", "Epoch: 031/050 Train Acc.: 87.30% | Validation Acc.: 81.08%\n", "Time elapsed: 94.80 min\n", "Epoch: 032/050 | Batch 000/156 | Cost: 0.2978\n", "Epoch: 032/050 | Batch 050/156 | Cost: 0.2111\n", "Epoch: 032/050 | Batch 100/156 | Cost: 0.3425\n", "Epoch: 032/050 | Batch 150/156 | Cost: 0.2541\n", "Epoch: 032/050 Train Acc.: 90.57% | Validation Acc.: 83.76%\n", "Time elapsed: 97.86 min\n", "Epoch: 033/050 | Batch 000/156 | Cost: 0.2911\n", "Epoch: 033/050 | Batch 050/156 | Cost: 0.2750\n", "Epoch: 033/050 | Batch 100/156 | Cost: 0.2008\n", "Epoch: 033/050 | Batch 150/156 | Cost: 0.3383\n", "Epoch: 033/050 Train Acc.: 89.97% | Validation Acc.: 82.96%\n", "Time elapsed: 100.91 min\n", "Epoch: 034/050 | Batch 000/156 | Cost: 0.3060\n", "Epoch: 034/050 | Batch 050/156 | Cost: 0.2994\n", "Epoch: 034/050 | Batch 100/156 | Cost: 0.2081\n", "Epoch: 034/050 | Batch 150/156 | Cost: 0.2108\n", "Epoch: 034/050 Train Acc.: 89.55% | Validation Acc.: 84.60%\n", "Time elapsed: 103.96 min\n", "Epoch: 035/050 | Batch 000/156 | Cost: 0.1920\n", "Epoch: 035/050 | Batch 050/156 | Cost: 0.2821\n", "Epoch: 035/050 | Batch 100/156 | Cost: 0.1952\n", "Epoch: 035/050 | Batch 150/156 | Cost: 0.3249\n", "Epoch: 035/050 Train Acc.: 90.98% | Validation Acc.: 84.24%\n", "Time elapsed: 107.01 min\n", "Epoch: 036/050 | Batch 000/156 | Cost: 0.2395\n", "Epoch: 036/050 | Batch 050/156 | Cost: 0.2236\n", "Epoch: 036/050 | Batch 100/156 | Cost: 0.2483\n", "Epoch: 036/050 | Batch 150/156 | Cost: 0.2277\n", "Epoch: 036/050 Train Acc.: 91.48% | Validation Acc.: 84.68%\n", "Time elapsed: 110.07 min\n", "Epoch: 037/050 | Batch 000/156 | Cost: 0.1802\n", "Epoch: 037/050 | Batch 050/156 | Cost: 0.2624\n", "Epoch: 037/050 | Batch 100/156 | Cost: 0.2480\n", "Epoch: 037/050 | Batch 150/156 | Cost: 0.1741\n", "Epoch: 037/050 Train Acc.: 91.16% | Validation Acc.: 83.72%\n", "Time elapsed: 113.12 min\n", "Epoch: 038/050 | Batch 000/156 | Cost: 0.2866\n", "Epoch: 038/050 | Batch 050/156 | Cost: 0.2406\n", "Epoch: 038/050 | Batch 100/156 | Cost: 0.2619\n", "Epoch: 038/050 | Batch 150/156 | Cost: 0.2000\n", "Epoch: 038/050 Train Acc.: 90.77% | Validation Acc.: 84.60%\n", "Time elapsed: 116.17 min\n", "Epoch: 039/050 | Batch 000/156 | Cost: 0.3116\n", "Epoch: 039/050 | Batch 050/156 | Cost: 0.1462\n", "Epoch: 039/050 | Batch 100/156 | Cost: 0.2207\n", "Epoch: 039/050 | Batch 150/156 | Cost: 0.2419\n", "Epoch: 039/050 Train Acc.: 91.16% | Validation Acc.: 83.80%\n", "Time elapsed: 119.22 min\n", "Epoch: 040/050 | Batch 000/156 | Cost: 0.2156\n", "Epoch: 040/050 | Batch 050/156 | Cost: 0.2678\n", "Epoch: 040/050 | Batch 100/156 | Cost: 0.1621\n", "Epoch: 040/050 | Batch 150/156 | Cost: 0.3015\n", "Epoch: 040/050 Train Acc.: 88.14% | Validation Acc.: 82.24%\n", "Time elapsed: 122.27 min\n", "Epoch: 041/050 | Batch 000/156 | Cost: 0.1685\n", "Epoch: 041/050 | Batch 050/156 | Cost: 0.1971\n", "Epoch: 041/050 | Batch 100/156 | Cost: 0.2548\n", "Epoch: 041/050 | Batch 150/156 | Cost: 0.2950\n", "Epoch: 041/050 Train Acc.: 90.48% | Validation Acc.: 83.08%\n", "Time elapsed: 125.32 min\n", "Epoch: 042/050 | Batch 000/156 | Cost: 0.2016\n", "Epoch: 042/050 | Batch 050/156 | Cost: 0.2426\n", "Epoch: 042/050 | Batch 100/156 | Cost: 0.2076\n", "Epoch: 042/050 | Batch 150/156 | Cost: 0.1772\n", "Epoch: 042/050 Train Acc.: 91.74% | Validation Acc.: 84.12%\n", "Time elapsed: 128.37 min\n", "Epoch: 043/050 | Batch 000/156 | Cost: 0.1269\n", "Epoch: 043/050 | Batch 050/156 | Cost: 0.1669\n", "Epoch: 043/050 | Batch 100/156 | Cost: 0.1648\n", "Epoch: 043/050 | Batch 150/156 | Cost: 0.2165\n", "Epoch: 043/050 Train Acc.: 93.64% | Validation Acc.: 85.32%\n", "Time elapsed: 131.43 min\n", "Epoch: 044/050 | Batch 000/156 | Cost: 0.2369\n", "Epoch: 044/050 | Batch 050/156 | Cost: 0.2574\n", "Epoch: 044/050 | Batch 100/156 | Cost: 0.1919\n", "Epoch: 044/050 | Batch 150/156 | Cost: 0.1777\n", "Epoch: 044/050 Train Acc.: 92.69% | Validation Acc.: 83.48%\n", "Time elapsed: 134.48 min\n", "Epoch: 045/050 | Batch 000/156 | Cost: 0.2837\n", "Epoch: 045/050 | Batch 050/156 | Cost: 0.1648\n", "Epoch: 045/050 | Batch 100/156 | Cost: 0.1512\n", "Epoch: 045/050 | Batch 150/156 | Cost: 0.1846\n", "Epoch: 045/050 Train Acc.: 94.10% | Validation Acc.: 85.36%\n", "Time elapsed: 137.53 min\n", "Epoch: 046/050 | Batch 000/156 | Cost: 0.1351\n", "Epoch: 046/050 | Batch 050/156 | Cost: 0.2147\n", "Epoch: 046/050 | Batch 100/156 | Cost: 0.1124\n", "Epoch: 046/050 | Batch 150/156 | Cost: 0.1358\n", "Epoch: 046/050 Train Acc.: 93.64% | Validation Acc.: 85.88%\n", "Time elapsed: 140.59 min\n", "Epoch: 047/050 | Batch 000/156 | Cost: 0.1248\n", "Epoch: 047/050 | Batch 050/156 | Cost: 0.2449\n", "Epoch: 047/050 | Batch 100/156 | Cost: 0.1527\n", "Epoch: 047/050 | Batch 150/156 | Cost: 0.1617\n", "Epoch: 047/050 Train Acc.: 94.69% | Validation Acc.: 86.36%\n", "Time elapsed: 143.64 min\n", "Epoch: 048/050 | Batch 000/156 | Cost: 0.1091\n", "Epoch: 048/050 | Batch 050/156 | Cost: 0.1122\n", "Epoch: 048/050 | Batch 100/156 | Cost: 0.1509\n", "Epoch: 048/050 | Batch 150/156 | Cost: 0.1535\n", "Epoch: 048/050 Train Acc.: 94.14% | Validation Acc.: 85.56%\n", "Time elapsed: 146.69 min\n", "Epoch: 049/050 | Batch 000/156 | Cost: 0.1317\n", "Epoch: 049/050 | Batch 050/156 | Cost: 0.2563\n", "Epoch: 049/050 | Batch 100/156 | Cost: 0.1455\n", "Epoch: 049/050 | Batch 150/156 | Cost: 0.2130\n", "Epoch: 049/050 Train Acc.: 93.85% | Validation Acc.: 85.28%\n", "Time elapsed: 149.74 min\n", "Epoch: 050/050 | Batch 000/156 | Cost: 0.1183\n", "Epoch: 050/050 | Batch 050/156 | Cost: 0.0974\n", "Epoch: 050/050 | Batch 100/156 | Cost: 0.1229\n", "Epoch: 050/050 | Batch 150/156 | Cost: 0.0915\n", "Epoch: 050/050 Train Acc.: 94.01% | Validation Acc.: 85.12%\n", "Time elapsed: 152.79 min\n", "Total Training Time: 152.79 min\n" ] } ], "source": [ "def compute_accuracy_and_loss(model, data_loader, device):\n", " correct_pred, num_examples = 0, 0\n", " cross_entropy = 0.\n", " for i, (features, targets) in enumerate(data_loader):\n", " \n", " features = features.to(device)\n", " targets = targets.to(device)\n", "\n", " logits, probas = model(features)\n", " cross_entropy += F.cross_entropy(logits, targets).item()\n", " _, predicted_labels = torch.max(probas, 1)\n", " num_examples += targets.size(0)\n", " correct_pred += (predicted_labels == targets).sum()\n", " return correct_pred.float()/num_examples * 100, cross_entropy/num_examples\n", " \n", "\n", "start_time = time.time()\n", "train_acc_lst, valid_acc_lst = [], []\n", "train_loss_lst, valid_loss_lst = [], []\n", "\n", "for epoch in range(NUM_EPOCHS):\n", " \n", " model.train()\n", " \n", " for batch_idx, (features, targets) in enumerate(train_loader):\n", " \n", " ### PREPARE MINIBATCH\n", " features = features.to(DEVICE)\n", " targets = targets.to(DEVICE)\n", " \n", " ### FORWARD AND BACK PROP\n", " logits, probas = model(features)\n", " cost = F.cross_entropy(logits, targets)\n", " optimizer.zero_grad()\n", " \n", " cost.backward()\n", " \n", " ### UPDATE MODEL PARAMETERS\n", " optimizer.step()\n", " \n", " ### LOGGING\n", " if not batch_idx % 50:\n", " print (f'Epoch: {epoch+1:03d}/{NUM_EPOCHS:03d} | '\n", " f'Batch {batch_idx:03d}/{len(train_loader):03d} | ' \n", " f'Cost: {cost:.4f}')\n", "\n", " \n", " model.eval()\n", " # no need to build the computation graph for backprop when computing accuracy\n", " with torch.set_grad_enabled(False):\n", " train_acc, train_loss = compute_accuracy_and_loss(model, train_loader, device=DEVICE)\n", " valid_acc, valid_loss = compute_accuracy_and_loss(model, valid_loader, device=DEVICE)\n", " train_acc_lst.append(train_acc)\n", " valid_acc_lst.append(valid_acc)\n", " train_loss_lst.append(train_loss)\n", " valid_loss_lst.append(valid_loss)\n", " print(f'Epoch: {epoch+1:03d}/{NUM_EPOCHS:03d} Train Acc.: {train_acc:.2f}%'\n", " f' | Validation Acc.: {valid_acc:.2f}%')\n", " \n", " elapsed = (time.time() - start_time)/60\n", " print(f'Time elapsed: {elapsed:.2f} min')\n", " \n", "elapsed = (time.time() - start_time)/60\n", "print(f'Total Training Time: {elapsed:.2f} min')" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(range(1, NUM_EPOCHS+1), train_loss_lst, label='Training loss')\n", "plt.plot(range(1, NUM_EPOCHS+1), valid_loss_lst, label='Validation loss')\n", "plt.legend(loc='upper right')\n", "plt.ylabel('Cross entropy')\n", "plt.xlabel('Epoch')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(range(1, NUM_EPOCHS+1), train_acc_lst, label='Training accuracy')\n", "plt.plot(range(1, NUM_EPOCHS+1), valid_acc_lst, label='Validation accuracy')\n", "plt.legend(loc='upper left')\n", "plt.ylabel('Cross entropy')\n", "plt.xlabel('Epoch')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Evaluation" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Test accuracy: 86.20%\n" ] } ], "source": [ "model.eval()\n", "with torch.set_grad_enabled(False): # save memory during inference\n", " test_acc, test_loss = compute_accuracy_and_loss(model, test_loader, DEVICE)\n", " print(f'Test accuracy: {test_acc:.2f}%')" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "class UnNormalize(object):\n", " def __init__(self, mean, std):\n", " self.mean = mean\n", " self.std = std\n", "\n", " def __call__(self, tensor):\n", " \"\"\"\n", " Args:\n", " tensor (Tensor): Tensor image of size (C, H, W) to be normalized.\n", " Returns:\n", " Tensor: Normalized image.\n", " \"\"\"\n", " for t, m, s in zip(tensor, self.mean, self.std):\n", " t.mul_(s).add_(m)\n", " # The normalize code -> t.sub_(m).div_(s)\n", " return tensor\n", " \n", " \n", "unorm = UnNormalize(mean=train_mean, std=train_std)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "test_loader = DataLoader(dataset=train_dataset, \n", " batch_size=BATCH_SIZE, \n", " shuffle=True)\n", "\n", "for features, targets in test_loader:\n", " break\n", " \n", "\n", "_, predictions = model.forward(features[:8].to(DEVICE))\n", "predictions = torch.argmax(predictions, dim=1)\n", "\n", "d = {0: 'cat',\n", " 1: 'dog'}\n", " \n", "fig, ax = plt.subplots(1, 8, figsize=(20, 10))\n", "for i in range(8):\n", " img = unorm(features[i])\n", " ax[i].imshow(np.transpose(img, (1, 2, 0)))\n", " ax[i].set_xlabel(d[predictions[i].item()])\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "torch.save(model.state_dict(), 'vgg16-cats-dogs.state_dict')" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" }, "toc": { "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 4 }