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GroceryDataset(Dataset):\n", + " def __init__(self, root, transform=None):\n", + " self.images_path=[]\n", + " self.labels=[]\n", + " for dir, subdir, files in os.walk(root):\n", + " for file in files:\n", + " self.images_path.append(os.path.join(dir, file))\n", + " self.labels.append(dir.split('/')[-1])\n", + " self.transform = transform\n", + " self.classes = dict ( [ (y,x) for (x,y) in enumerate ( set (self.labels) ) ] ) # no for loops\n", + " # classes [\"Arla-Natural-Yoghurt\"] = 33 \n", + "\n", + "\n", + " def __len__(self):\n", + " return len(self.labels)\n", + "\n", + " def __getitem__(self, idx):\n", + " \n", + " target = self.classes [ self.labels[idx] ] \n", + " im = PIL.Image.open(self.images_path[idx])\n", + " if self.transform:\n", + " im = self.transform(im)\n", + " else: \n", + " im = transforms.ToTensor()(im)\n", + "\n", + "\n", + " return im, target\n", + "\n", + "# data augmentation can be controlled here by adding some random transformations \n", + "transform_ = transforms.Compose([\n", + " transforms.Resize((224,224)),\n", + " # add some random transformations ??\n", + " # rotate the picture, remove parts of the lectures, add some noise // data augmenation \n", + " \n", + " transforms.ToTensor(),\n", + " # nromalize given means and std deviations \n", + " transforms.Normalize((0.4914, 0.4822, 0.4465), (0.2023, 0.1994, 0.2010)),\n", + "])\n", + "\n", + "# data augmentation is only used for training, we do not augment the test data \n", + "# But to raise the challenge maybe you can inject a transformation to the test set\n", + "transform_test = transforms.Compose([\n", + " transforms.Resize((224,224)),\n", + " # nromalize given means and std deviations \n", + " transforms.Normalize((0.4914, 0.4822, 0.4465), (0.2023, 0.1994, 0.2010)),\n", + "])\n", + "\n", + "\n", + "data = GroceryDataset(root=\"/content/GroceryStoreDataset/dataset/train/\", transform=transform_)\n", + "loader = torch.utils.data.DataLoader(data, batch_size=64, shuffle=True)\n", + "\n", + "testdata = GroceryDataset(root=\"/content/GroceryStoreDataset/dataset/test/\", transform=transform_test)\n", + "testloader = torch.utils.data.DataLoader(data, batch_size=64, shuffle=True)\n", + "\n", + "# for i in range (3): \n", + "# for x, y in loader: \n", + "# print (x.shape, y) \n", + "print (len(data.classes))\n", + "print (len(testdata.classes))\n" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "stream", + "text": [ + "81\n", + "81\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "7wo4A6IqHTzV", + "colab_type": "code", + "outputId": "5baa9d4b-9ace-4058-e097-b22a7e6cfe44", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + } + }, + "source": [ + "# if it prints cpu, runtime -> change runtime type -> Hardware accelerator -> select gpu\n", + "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n", + "print (device)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "stream", + "text": [ + "cuda:0\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "8UU8HmeK_LLU", + "colab_type": "code", + "outputId": "de534569-8c99-46b9-f60f-79d24b9b3d40", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 544 + } + }, + "source": [ + "from torch import nn\n", + "from torch import optim\n", + "\n", + "\n", + "# take the alexnet neural network and change the last layer \n", + "model = models.alexnet(pretrained=True)\n", + "print (model.classifier[6])\n", + "model.classifier[6]= nn.Sequential(\n", + " nn.Linear(in_features=4096, out_features=len(data.classes)),\n", + " nn.LogSoftmax(dim=1) ) \n", + "\n", + "criterion = nn.NLLLoss()\n", + "\n", + "# we just optimize with respect to the last layer weights and biases! \n", + "optimizer = optim.Adam(model.classifier[6].parameters(), lr=0.003)\n", + "\n", + "model.to(device)\n", + "model" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Linear(in_features=4096, out_features=1000, bias=True)\n" + ], + "name": "stdout" + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "AlexNet(\n", + " (features): Sequential(\n", + " (0): Conv2d(3, 64, kernel_size=(11, 11), stride=(4, 4), padding=(2, 2))\n", + " (1): ReLU(inplace=True)\n", + " (2): MaxPool2d(kernel_size=3, stride=2, padding=0, dilation=1, ceil_mode=False)\n", + " (3): Conv2d(64, 192, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))\n", + " (4): ReLU(inplace=True)\n", + " (5): MaxPool2d(kernel_size=3, stride=2, padding=0, dilation=1, ceil_mode=False)\n", + " (6): Conv2d(192, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", + " (7): ReLU(inplace=True)\n", + " (8): Conv2d(384, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", + " (9): ReLU(inplace=True)\n", + " (10): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", + " (11): ReLU(inplace=True)\n", + " (12): MaxPool2d(kernel_size=3, stride=2, padding=0, dilation=1, ceil_mode=False)\n", + " )\n", + " (avgpool): AdaptiveAvgPool2d(output_size=(6, 6))\n", + " (classifier): Sequential(\n", + " (0): Dropout(p=0.5, inplace=False)\n", + " (1): Linear(in_features=9216, out_features=4096, bias=True)\n", + " (2): ReLU(inplace=True)\n", + " (3): Dropout(p=0.5, inplace=False)\n", + " (4): Linear(in_features=4096, out_features=4096, bias=True)\n", + " (5): ReLU(inplace=True)\n", + " (6): Sequential(\n", + " (0): Linear(in_features=4096, out_features=81, bias=True)\n", + " (1): LogSoftmax()\n", + " )\n", + " )\n", + ")" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 6 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "09VC6JABIrdZ", + "colab_type": "code", + "outputId": "5f6015e0-7f27-42f0-f97b-e9aab009cb48", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 204 + } + }, + "source": [ + "epochs = 10\n", + "steps = 0\n", + "running_loss = 0\n", + "\n", + "\n", + "for epoch in range(epochs):\n", + " for inputs, labels in loader:\n", + " # print (inputs.shape)\n", + " steps += 1\n", + " # Move input and label tensors to the default device\n", + " inputs= inputs.to(device)\n", + " labels = labels.to(device)\n", + " optimizer.zero_grad()\n", + " logps = model.forward(inputs)\n", + " loss = criterion(logps, labels)\n", + " loss.backward()\n", + " optimizer.step()\n", + " running_loss += loss.item()\n", + " print(f\"Epoch {epoch+1}/{epochs}.. \"\n", + " f\"Train loss: {running_loss/len(loader):.3f}.. \")\n", + " running_loss = 0\n", + " \n", + "\n", + "test_loss = 0\n", + "test_accuracy = 0\n", + "model.eval()\n", + "with torch.no_grad():\n", + " for inputs_test, labels_test in testloader:\n", + " inputs_test, labels_test = inputs_test.to(device), labels_test.to(device)\n", + " logps_test = model.forward(inputs_test)\n", + " batch_loss = criterion(logps_test, labels_test)\n", + " test_loss += batch_loss.item()\n", + " # Calculate accuracy\n", + " ps = torch.exp(logps_test)\n", + " top_p, top_class = ps.topk(1, dim=1)\n", + " equals = top_class == labels_test.view(*top_class.shape)\n", + " test_accuracy += torch.mean(equals.type(torch.FloatTensor)).item()\n", + "\n", + "print(\n", + " f\"Test loss: {test_loss/len(testloader):.3f}.. \"\n", + " f\"Test accuracy: {test_accuracy/len(testloader):.3f}\")\n", + "\n", + "model.train();\n", + "\n" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Epoch 1/10.. Train loss: 1.778.. \n", + "Epoch 2/10.. Train loss: 0.415.. \n", + "Epoch 3/10.. Train loss: 0.307.. \n", + "Epoch 4/10.. Train loss: 0.240.. \n", + "Epoch 5/10.. Train loss: 0.188.. \n", + "Epoch 6/10.. Train loss: 0.157.. \n", + "Epoch 7/10.. Train loss: 0.208.. \n", + "Epoch 8/10.. Train loss: 0.189.. \n", + "Epoch 9/10.. Train loss: 0.141.. \n", + "Epoch 10/10.. Train loss: 0.151.. \n", + "Test loss: 0.085.. Test accuracy: 0.972\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "UqiYIp59neD2", + "colab_type": "text" + }, + "source": [ + "## Ex 2\n", + "### Adversarial training \n", + "In this experiment we generate adversarial images for the grocery dataset and the model that we just learned using a library called foolbox https://github.com/bethgelab/foolbox\n", + "\n", + "Augmenting the original dataset by these adversarial samples helps the regularization of the training model. Use the following skeleton code to generate adversarial samples, add them to the original dataset and comment on your findings in terms of training and testing accuracy. " + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "ZZgsiuR3ZvZT", + "colab_type": "code", + "colab": {} + }, + "source": [ + "# ! pip install foolbox" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "XsIVIurEYkr4", + "colab_type": "code", + "outputId": "02617afd-9471-41ef-a99b-16a7c4b913fc", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 533 + } + }, + "source": [ + "import random, os\n", + "import foolbox as fb\n", + "import PIL.Image\n", + "import torch\n", + "from torchvision import datasets, transforms, models\n", + "from torch import nn\n", + "\n", + "device = torch.device(\"cuda:0\")\n", + "images_path=[]\n", + "labels=[]\n", + "for dir, subdir, files in os.walk(\"/content/GroceryStoreDataset/dataset/train/Packages\"):\n", + " # print (files)\n", + " for file in files: \n", + " images_path.append(os.path.join(dir, file))\n", + " labels.append(dir.split('/')[-1])\n", + "\n", + "classes = dict ( [ (y,x) for (x,y) in enumerate ( set (labels) ) ] ) \n", + "\n", + "ims = [] \n", + "ys = [] \n", + "first = True \n", + "for (x, y) in random.sample( list ( zip(images_path, labels) ), 2):\n", + " y = classes[y]\n", + " im = PIL.Image.open(x)\n", + " im = transforms.Resize((224,224))(im)\n", + " if (first) :\n", + " display(im)\n", + " first = False \n", + " im = transforms.ToTensor()(im)\n", + " ims.append(im) \n", + " ys.append(torch.tensor(y))\n", + "\n", + "\n", + "# print(ys) \n", + "# print (torch.stack(ims).shape)\n", + "# print (torch.stack(ys).shape)\n", + "\n", + "# to test separately from the model learned in Ex 1:\n", + "# model = models.alexnet(pretrained=True)\n", + "# print (model.classifier[6])\n", + "# model.classifier[6]= nn.Linear(in_features=4096, out_features=len(set(labels))) \n", + "# model.to(device) \n", + "\n", + "preprocessing = dict(mean=[0.4914, 0.4822, 0.4465], std=[0.2023, 0.1994, 0.2010], axis=-3)\n", + "fmodel = fb.PyTorchModel(model.eval(), bounds=(0, 1), preprocessing=preprocessing)\n", + "attack = fb.attacks.FGSM()\n", + "# bigger epsilons lead to more corruption in the image \n", + "epsilons = [0.01]\n", + "_, advs, success = attack(fmodel, torch.stack(ims).to(device), torch.stack(ys).to(device), epsilons=epsilons)\n", + "\n", + "print (success)\n", + "for x in advs: \n", + " logps= model.forward(x) \n", + " ps = torch.exp(logps)\n", + " top_p, top_class = ps.topk(1, dim=1)\n", + " print (\"adv classes: \", top_class)\n", + " print (\"true classes: \", ys)\n", + " im = transforms.ToPILImage()(x[0].to(\"cpu\"))\n", + " display(im) \n", + " im = transforms.ToPILImage()(x[1].to(\"cpu\"))\n", + " # display(im) \n" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "6ChYtUK6niYj", + "colab_type": "text" + }, + "source": [ + "## Ex3\n", + "### Noise Robustness vs. dropout in the special case of linear regression\n", + "\n", + "(a) Show that adding Gaussian noise with **small** magnitude to the weights and biases of linear regression (the noise has mean $0$ and variance $\\eta << 1$) does not affect the solution of the gradient descent. \n", + "\n", + "(b) Another way of attempting regularization is by adding a dropout layer. Comment on the feasibility and the impact of this approach for the current scenario.\n" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "d_ZVEF2ppsFd", + "colab_type": "code", + "outputId": "61eb92c7-ab54-44f1-8ec0-08420a75f79e", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 85 + } + }, + "source": [ + "import torch\n", + "from torch import nn \n", + "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n", + "# A x = b \n", + "A = torch.rand(10,3)\n", + "A1 = torch.cat ( (A , torch.ones (10,1)), 1 ) \n", + "sol = torch.rand(4,1) \n", + "b = torch.matmul(A1, sol) \n", + "# A1,A,b,\n", + "sol" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "tensor([[0.5491],\n", + " [0.4450],\n", + " [0.0859],\n", + " [0.6499]])" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 10 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "_B8Cf-b9q0hI", + "colab_type": "code", + "outputId": "7a84f302-f369-445f-f2ea-1f409e768387", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 102 + } + }, + "source": [ + "# without adding noise \n", + "model = nn.Linear(in_features=3, out_features=1)\n", + "model.to(device)\n", + "\n", + "criterion = torch.nn.MSELoss() \n", + "optimizer = torch.optim.SGD(model.parameters(), lr = 0.05)\n", + "\n", + "epochs = 1000\n", + "\n", + "inputs= A.to(device)\n", + "labels = b.to(device)\n", + "\n", + "\n", + "\n", + "for epoch in range(epochs):\n", + " optimizer.zero_grad()\n", + " preds = model.forward(inputs)\n", + " loss = criterion(preds, labels)\n", + "\n", + " loss.backward()\n", + " optimizer.step()\n", + "\n", + "\n", + "model.eval()\n", + "preds = model.forward(inputs)\n", + "loss = criterion(preds, labels)\n", + "print (loss) \n", + "model.train() \n", + "\n", + "print (model.bias)\n", + "print (model.weight)\n" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "stream", + "text": [ + "tensor(1.3726e-06, device='cuda:0', grad_fn=)\n", + "Parameter containing:\n", + "tensor([0.6465], device='cuda:0', requires_grad=True)\n", + "Parameter containing:\n", + "tensor([[0.5496, 0.4467, 0.0899]], device='cuda:0', requires_grad=True)\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "XGGVydiBPkl3", + "colab_type": "text" + }, + "source": [ + "## Ex3 \n", + "### L2 regularization vs. L1 regularization \n", + "(a) Based on the data provided below, design an experiment to show the difference between the solutions to three **logistic regression** problems: \n", + "\n", + "\n", + "1. the cost function is cross-entropy \n", + "2. the cost function is cross-entropy + L2 regularization \n", + "3. the cost function is cross-entropy + L1 regularization \n", + "\n", + "\n", + "(b) In the three cases (no regularization, L2 regularization and L1 regularization), compare the weights of the first layer with respect to the variances of the corresponding features and the co-variances of these features w.r.t the label\n", + "\n", + "(c) Show that early stopping is equivalent to L2 regularization for some decay coefficient $\\alpha$ \n", + "\n", + "\n", + "---\n", + "\n", + "\n", + "*N.b. some of the code and the data file belong to https://github.com/udacity/deep-learning-v2-pytorch/tree/master/intro-neural-networks/gradient-descent*\n", + "\n", + "\n", + "*Preferably use Pytorch, but it is not mandatory*" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "jhqEwxDe460k", + "colab_type": "code", + "outputId": "80a25572-b55d-4705-bec3-f5022a45571f", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 204 + } + }, + "source": [ + "! wget https://raw.githubusercontent.com/udacity/deep-learning-v2-pytorch/master/intro-neural-networks/gradient-descent/data.csv" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "stream", + "text": [ + "--2020-04-13 23:16:16-- https://raw.githubusercontent.com/udacity/deep-learning-v2-pytorch/master/intro-neural-networks/gradient-descent/data.csv\n", + "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...\n", + "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... connected.\n", + "HTTP request sent, awaiting response... 200 OK\n", + "Length: 1778 (1.7K) [text/plain]\n", + "Saving to: ‘data.csv’\n", + "\n", + "\rdata.csv 0%[ ] 0 --.-KB/s \rdata.csv 100%[===================>] 1.74K --.-KB/s in 0s \n", + "\n", + "2020-04-13 23:16:16 (21.6 MB/s) - ‘data.csv’ saved [1778/1778]\n", + "\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "B4dMEru5uikw", + "colab_type": "code", + "outputId": "78bf8eb7-b0de-47e2-e1de-26f2b6a6e9aa", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 265 + } + }, + "source": [ + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "#Some helper functions for plotting and drawing lines\n", + "\n", + "def plot_points(X, y):\n", + " admitted = X[np.argwhere(y==1)]\n", + " rejected = X[np.argwhere(y==0)]\n", + " plt.scatter([s[0][0] for s in rejected], [s[0][1] for s in rejected], s = 25, color = 'blue', edgecolor = 'k')\n", + " plt.scatter([s[0][0] for s in admitted], [s[0][1] for s in admitted], s = 25, color = 'red', edgecolor = 'k')\n", + "\n", + "def display(m, b, color='g--'):\n", + " plt.xlim(-0.05,1.05)\n", + " plt.ylim(-0.05,1.05)\n", + " x = np.arange(-10, 10, 0.1)\n", + " plt.plot(x, m*x+b, color)\n", + "\n", + "data = pd.read_csv('/content/data.csv', header=None)\n", + "X = np.array(data[[0,1]])\n", + "y = np.array(data[2])\n", + "plot_points(X,y)\n", + "plt.show()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", 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