JimmyChin1998/Pytorch-Learning-File
0
1{2 "cells": [3 {4 "cell_type": "code",5 "execution_count": 1,6 "id": "56df6308-bd41-4c93-bf2d-c74d1e5837ab",7 "metadata": {},8 "outputs": [],9 "source": [10 "from sklearn.datasets import make_circles\n",11 "\n",12 "\n",13 "# Make 1000 samples \n",14 "n_samples = 1000\n",15 "\n",16 "# Create circles\n",17 "# X為二維向量(x,y),y則為label 0或1\n",18 "X, y = make_circles(n_samples,\n",19 " noise=0.03, # a little bit of noise to the dots\n",20 " random_state=42) # keep random state so we get the same values"21 ]22 },23 {24 "cell_type": "code",25 "execution_count": 2,26 "id": "e2545461-6a15-4153-91ca-ca815f47c4a6",27 "metadata": {},28 "outputs": [29 {30 "name": "stdout",31 "output_type": "stream",32 "text": [33 "First 5 X features:\n",34 "[[ 0.75424625 0.23148074]\n",35 " [-0.75615888 0.15325888]\n",36 " [-0.81539193 0.17328203]\n",37 " [-0.39373073 0.69288277]\n",38 " [ 0.44220765 -0.89672343]]\n",39 "\n",40 "First 5 y labels:\n",41 "[1 1 1 1 0]\n"42 ]43 }44 ],45 "source": [46 "print(f\"First 5 X features:\\n{X[:5]}\")\n",47 "print(f\"\\nFirst 5 y labels:\\n{y[:5]}\")"48 ]49 },50 {51 "cell_type": "code",52 "execution_count": 3,53 "id": "b2116df9-b460-4a46-87ab-b293cfe74818",54 "metadata": {},55 "outputs": [56 {57 "data": {58 "text/html": [59 "<div>\n",60 "<style scoped>\n",61 " .dataframe tbody tr th:only-of-type {\n",62 " vertical-align: middle;\n",63 " }\n",64 "\n",65 " .dataframe tbody tr th {\n",66 " vertical-align: top;\n",67 " }\n",68 "\n",69 " .dataframe thead th {\n",70 " text-align: right;\n",71 " }\n",72 "</style>\n",73 "<table border=\"1\" class=\"dataframe\">\n",74 " <thead>\n",75 " <tr style=\"text-align: right;\">\n",76 " <th></th>\n",77 " <th>X1</th>\n",78 " <th>X2</th>\n",79 " <th>label</th>\n",80 " </tr>\n",81 " </thead>\n",82 " <tbody>\n",83 " <tr>\n",84 " <th>0</th>\n",85 " <td>0.754246</td>\n",86 " <td>0.231481</td>\n",87 " <td>1</td>\n",88 " </tr>\n",89 " <tr>\n",90 " <th>1</th>\n",91 " <td>-0.756159</td>\n",92 " <td>0.153259</td>\n",93 " <td>1</td>\n",94 " </tr>\n",95 " <tr>\n",96 " <th>2</th>\n",97 " <td>-0.815392</td>\n",98 " <td>0.173282</td>\n",99 " <td>1</td>\n",100 " </tr>\n",101 " <tr>\n",102 " <th>3</th>\n",103 " <td>-0.393731</td>\n",104 " <td>0.692883</td>\n",105 " <td>1</td>\n",106 " </tr>\n",107 " <tr>\n",108 " <th>4</th>\n",109 " <td>0.442208</td>\n",110 " <td>-0.896723</td>\n",111 " <td>0</td>\n",112 " </tr>\n",113 " <tr>\n",114 " <th>5</th>\n",115 " <td>-0.479646</td>\n",116 " <td>0.676435</td>\n",117 " <td>1</td>\n",118 " </tr>\n",119 " <tr>\n",120 " <th>6</th>\n",121 " <td>-0.013648</td>\n",122 " <td>0.803349</td>\n",123 " <td>1</td>\n",124 " </tr>\n",125 " <tr>\n",126 " <th>7</th>\n",127 " <td>0.771513</td>\n",128 " <td>0.147760</td>\n",129 " <td>1</td>\n",130 " </tr>\n",131 " <tr>\n",132 " <th>8</th>\n",133 " <td>-0.169322</td>\n",134 " <td>-0.793456</td>\n",135 " <td>1</td>\n",136 " </tr>\n",137 " <tr>\n",138 " <th>9</th>\n",139 " <td>-0.121486</td>\n",140 " <td>1.021509</td>\n",141 " <td>0</td>\n",142 " </tr>\n",143 " </tbody>\n",144 "</table>\n",145 "</div>"146 ],147 "text/plain": [148 " X1 X2 label\n",149 "0 0.754246 0.231481 1\n",150 "1 -0.756159 0.153259 1\n",151 "2 -0.815392 0.173282 1\n",152 "3 -0.393731 0.692883 1\n",153 "4 0.442208 -0.896723 0\n",154 "5 -0.479646 0.676435 1\n",155 "6 -0.013648 0.803349 1\n",156 "7 0.771513 0.147760 1\n",157 "8 -0.169322 -0.793456 1\n",158 "9 -0.121486 1.021509 0"159 ]160 },161 "execution_count": 3,162 "metadata": {},163 "output_type": "execute_result"164 }165 ],166 "source": [167 "# Make DataFrame of circle data\n",168 "import pandas as pd\n",169 "circles = pd.DataFrame({\"X1\": X[:, 0],\n",170 " \"X2\": X[:, 1],\n",171 " \"label\": y\n",172 "})\n",173 "circles.head(10)"174 ]175 },176 {177 "cell_type": "code",178 "execution_count": 4,179 "id": "492cb89e-f3c6-4eaa-a8ee-5410153fcf4d",180 "metadata": {},181 "outputs": [182 {183 "data": {184 "text/plain": [185 "label\n",186 "1 500\n",187 "0 500\n",188 "Name: count, dtype: int64"189 ]190 },191 "execution_count": 4,192 "metadata": {},193 "output_type": "execute_result"194 }195 ],196 "source": [197 "# Check different labels\n",198 "circles.label.value_counts()"199 ]200 },201 {202 "cell_type": "code",203 "execution_count": 5,204 "id": "6190f713-13e6-45cd-ab59-4d6210dc71b5",205 "metadata": {},206 "outputs": [207 {208 "data": {209 "image/png": 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",210 "text/plain": [211 "<Figure size 640x480 with 1 Axes>"212 ]213 },214 "metadata": {},215 "output_type": "display_data"216 }217 ],218 "source": [219 "# Visualize with a plot\n",220 "import matplotlib.pyplot as plt\n",221 "plt.scatter(x=X[:, 0], \n",222 " y=X[:, 1], \n",223 " c=y, \n",224 " cmap=plt.cm.RdYlBu);"225 ]226 },227 {228 "cell_type": "code",229 "execution_count": 6,230 "id": "10b1c94b-3c4a-4769-b430-e30223c6c67c",231 "metadata": {},232 "outputs": [233 {234 "data": {235 "text/plain": [236 "((1000, 2), (1000,))"237 ]238 },239 "execution_count": 6,240 "metadata": {},241 "output_type": "execute_result"242 }243 ],244 "source": [245 "# Check the shapes of our features and labels\n",246 "X.shape, y.shape"247 ]248 },249 {250 "cell_type": "code",251 "execution_count": 7,252 "id": "3f77915d-1eb4-4786-9a43-21318ad1febe",253 "metadata": {},254 "outputs": [255 {256 "name": "stdout",257 "output_type": "stream",258 "text": [259 "Values for one sample of X: [0.75424625 0.23148074] and the same for y: 1\n",260 "Shapes for one sample of X: (2,) and the same for y: ()\n"261 ]262 }263 ],264 "source": [265 "# View the first example of features and labels\n",266 "X_sample = X[0]\n",267 "y_sample = y[0]\n",268 "print(f\"Values for one sample of X: {X_sample} and the same for y: {y_sample}\")\n",269 "print(f\"Shapes for one sample of X: {X_sample.shape} and the same for y: {y_sample.shape}\")"270 ]271 },272 {273 "cell_type": "code",274 "execution_count": 8,275 "id": "f0390f65-f7aa-4d0d-b4e4-cf1772dea4b5",276 "metadata": {},277 "outputs": [278 {279 "data": {280 "text/plain": [281 "(tensor([[ 0.7542, 0.2315],\n",282 " [-0.7562, 0.1533],\n",283 " [-0.8154, 0.1733],\n",284 " [-0.3937, 0.6929],\n",285 " [ 0.4422, -0.8967]]),\n",286 " tensor([1., 1., 1., 1., 0.]))"287 ]288 },289 "execution_count": 8,290 "metadata": {},291 "output_type": "execute_result"292 }293 ],294 "source": [295 "# Turn data into tensors\n",296 "import torch\n",297 "X = torch.from_numpy(X).type(torch.float)\n",298 "y = torch.from_numpy(y).type(torch.float)\n",299 "\n",300 "# View the first five samples\n",301 "X[:5], y[:5]"302 ]303 },304 {305 "cell_type": "code",306 "execution_count": 9,307 "id": "bcf16490-e344-4789-8162-aabfd1897ec2",308 "metadata": {},309 "outputs": [310 {311 "data": {312 "text/plain": [313 "(800, 200, 800, 200)"314 ]315 },316 "execution_count": 9,317 "metadata": {},318 "output_type": "execute_result"319 }320 ],321 "source": [322 "# Split data into train and test sets\n",323 "from sklearn.model_selection import train_test_split\n",324 "\n",325 "X_train, X_test, y_train, y_test = train_test_split(X, \n",326 " y, \n",327 " test_size=0.2, # 20% test, 80% train\n",328 " random_state=42) # make the random split reproducible\n",329 "\n",330 "len(X_train), len(X_test), len(y_train), len(y_test)"331 ]332 },333 {334 "cell_type": "code",335 "execution_count": 10,336 "id": "96f8118c-da51-4932-ab57-0385757b9434",337 "metadata": {},338 "outputs": [339 {340 "data": {341 "text/plain": [342 "'cuda'"343 ]344 },345 "execution_count": 10,346 "metadata": {},347 "output_type": "execute_result"348 }349 ],350 "source": [351 "# Standard PyTorch imports\n",352 "import torch\n",353 "from torch import nn\n",354 "\n",355 "# Make device agnostic code\n",356 "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",357 "device"358 ]359 },360 {361 "cell_type": "code",362 "execution_count": 11,363 "id": "59ef2d60-80a8-497a-aaeb-da6492715dcd",364 "metadata": {},365 "outputs": [],366 "source": [367 "# import random\n",368 "# random.seed(42)"369 ]370 },371 {372 "cell_type": "code",373 "execution_count": 61,374 "id": "c9371218-e4e7-4910-9b35-10af99676514",375 "metadata": {},376 "outputs": [377 {378 "data": {379 "text/plain": [380 "CircleModelV0(\n",381 " (layer_1): Linear(in_features=2, out_features=5, bias=True)\n",382 " (layer_2): Linear(in_features=5, out_features=1, bias=True)\n",383 ")"384 ]385 },386 "execution_count": 61,387 "metadata": {},388 "output_type": "execute_result"389 }390 ],391 "source": [392 "# 1. Construct a model class that subclasses nn.Module\n",393 "class CircleModelV0(nn.Module):\n",394 " def __init__(self):\n",395 " super().__init__()\n",396 " # 2. Create 2 nn.Linear layers capable of handling X and y input and output shapes\n",397 " # 輸入資料單筆數量轉換 => self.layer_1 原本傳進來有2個特徵轉變成5個\n",398 " # hidden layer 與 神經元(neuron)\n",399 " self.layer_1 = nn.Linear(in_features=2, out_features=5) # takes in 2 features (X), produces 5 features\n",400 " self.layer_2 = nn.Linear(in_features=5, out_features=1) # takes in 5 features, produces 1 feature (y)\n",401 " \n",402 " # 3. Define a forward method containing the forward pass computation\n",403 " def forward(self, x):\n",404 " # Return the output of layer_2, a single feature, the same shape as y\n",405 " return self.layer_2(self.layer_1(x)) # computation goes through layer_1 first then the output of layer_1 goes through layer_2\n",406 "\n",407 "# 4. Create an instance of the model and send it to target device\n",408 "model_0 = CircleModelV0().to(device)\n",409 "model_0"410 ]411 },412 {413 "cell_type": "code",414 "execution_count": 13,415 "id": "f1bc6093-a59e-44bc-89c6-5aacf5a4e6d3",416 "metadata": {},417 "outputs": [418 {419 "data": {420 "text/plain": [421 "Sequential(\n",422 " (0): Linear(in_features=2, out_features=5, bias=True)\n",423 " (1): Linear(in_features=5, out_features=1, bias=True)\n",424 ")"425 ]426 },427 "execution_count": 13,428 "metadata": {},429 "output_type": "execute_result"430 }431 ],432 "source": [433 "# Replicate CircleModelV0 with nn.Sequential\n",434 "model_0 = nn.Sequential(\n",435 " nn.Linear(in_features=2, out_features=5),\n",436 " nn.Linear(in_features=5, out_features=1)\n",437 ").to(device)\n",438 "\n",439 "model_0"440 ]441 },442 {443 "cell_type": "code",444 "execution_count": 14,445 "id": "9245e78b-7644-4a34-8f30-2a47aec9464d",446 "metadata": {},447 "outputs": [448 {449 "name": "stdout",450 "output_type": "stream",451 "text": [452 "Length of predictions: 200, Shape: torch.Size([200, 1])\n",453 "Length of test samples: 200, Shape: torch.Size([200])\n",454 "\n",455 "First 10 predictions:\n",456 "tensor([[ 0.0683],\n",457 " [ 0.1130],\n",458 " [-0.0901],\n",459 " [ 0.1134],\n",460 " [-0.1557],\n",461 " [-0.1279],\n",462 " [ 0.0499],\n",463 " [-0.0067],\n",464 " [-0.0871],\n",465 " [ 0.1152]], device='cuda:0', grad_fn=<SliceBackward0>)\n",466 "\n",467 "First 10 test labels:\n",468 "tensor([1., 0., 1., 0., 1., 1., 0., 0., 1., 0.])\n"469 ]470 }471 ],472 "source": [473 "# Make predictions with the model\n",474 "untrained_preds = model_0(X_test.to(device))\n",475 "print(f\"Length of predictions: {len(untrained_preds)}, Shape: {untrained_preds.shape}\")\n",476 "print(f\"Length of test samples: {len(y_test)}, Shape: {y_test.shape}\")\n",477 "print(f\"\\nFirst 10 predictions:\\n{untrained_preds[:10]}\")\n",478 "print(f\"\\nFirst 10 test labels:\\n{y_test[:10]}\")"479 ]480 },481 {482 "cell_type": "code",483 "execution_count": 15,484 "id": "e35a7ca0-6310-4a5a-a710-b01b6fa76b33",485 "metadata": {},486 "outputs": [],487 "source": [488 "# Create a loss function\n",489 "# loss_fn = nn.BCELoss() # BCELoss = no sigmoid built-in\n",490 "loss_fn = nn.BCEWithLogitsLoss() # BCEWithLogitsLoss = sigmoid built-in\n",491 "\n",492 "# Create an optimizer\n",493 "optimizer = torch.optim.SGD(params=model_0.parameters(), \n",494 " lr=0.1)"495 ]496 },497 {498 "cell_type": "code",499 "execution_count": 16,500 "id": "bad77a16-91ad-43cf-8c68-38189257048f",501 "metadata": {},502 "outputs": [],503 "source": [504 "# Calculate accuracy (a classification metric)\n",505 "# .sum()為true的數量,.item()是將tensor轉換為python數值\n",506 "def accuracy_fn(y_true, y_pred):\n",507 " correct = torch.eq(y_true, y_pred).sum().item() # torch.eq() calculates where two tensors are equal\n",508 " acc = (correct / len(y_pred)) * 100 \n",509 " return acc"510 ]511 },512 {513 "cell_type": "code",514 "execution_count": 17,515 "id": "175a3f73-c837-407d-af83-0f7e17f4acec",516 "metadata": {},517 "outputs": [518 {519 "data": {520 "text/plain": [521 "(tensor([[ 0.0683],\n",522 " [ 0.1130],\n",523 " [-0.0901],\n",524 " [ 0.1134],\n",525 " [-0.1557]], device='cuda:0', grad_fn=<SliceBackward0>),\n",526 " torch.Size([5, 1]))"527 ]528 },529 "execution_count": 17,530 "metadata": {},531 "output_type": "execute_result"532 }533 ],534 "source": [535 "# View the first 5 outputs of the forward pass on the test data\n",536 "y_logits = model_0(X_test.to(device))[:5]\n",537 "y_logits,y_logits.shape"538 ]539 },540 {541 "cell_type": "code",542 "execution_count": 18,543 "id": "38833df8-b984-438a-a8ba-155d2a9ad187",544 "metadata": {},545 "outputs": [546 {547 "data": {548 "text/plain": [549 "tensor([[0.5171],\n",550 " [0.5282],\n",551 " [0.4775],\n",552 " [0.5283],\n",553 " [0.4612]], device='cuda:0', grad_fn=<SigmoidBackward0>)"554 ]555 },556 "execution_count": 18,557 "metadata": {},558 "output_type": "execute_result"559 }560 ],561 "source": [562 "# Use sigmoid on model logits\n",563 "y_pred_probs = torch.sigmoid(y_logits)\n",564 "y_pred_probs"565 ]566 },567 {568 "cell_type": "code",569 "execution_count": 19,570 "id": "8f3c66c2-e34f-4851-9297-9ddd457cb04a",571 "metadata": {},572 "outputs": [573 {574 "name": "stdout",575 "output_type": "stream",576 "text": [577 "tensor([True, True, True, True, True], device='cuda:0')\n"578 ]579 },580 {581 "data": {582 "text/plain": [583 "tensor([1., 1., 0., 1., 0.], device='cuda:0', grad_fn=<SqueezeBackward0>)"584 ]585 },586 "execution_count": 19,587 "metadata": {},588 "output_type": "execute_result"589 }590 ],591 "source": [592 "# Find the predicted labels (round the prediction probabilities)\n",593 "# >=0.5為1,反之則0\n",594 "y_preds = torch.round(y_pred_probs)\n",595 "\n",596 "# In full\n",597 "y_pred_labels = torch.round(torch.sigmoid(model_0(X_test.to(device))[:5]))\n",598 "\n",599 "# Check for equality\n",600 "print(torch.eq(y_preds.squeeze(), y_pred_labels.squeeze()))\n",601 "\n",602 "# Get rid of extra dimension\n",603 "y_preds.squeeze()"604 ]605 },606 {607 "cell_type": "code",608 "execution_count": 20,609 "id": "3b9fba44-23be-4445-b243-1d1fde61cf05",610 "metadata": {},611 "outputs": [612 {613 "data": {614 "text/plain": [615 "tensor([1., 0., 1., 0., 1.])"616 ]617 },618 "execution_count": 20,619 "metadata": {},620 "output_type": "execute_result"621 }622 ],623 "source": [624 "y_test[:5]"625 ]626 },627 {628 "cell_type": "code",629 "execution_count": 21,630 "id": "239c72dd-19f7-4e97-83bc-6cbc249a3851",631 "metadata": {},632 "outputs": [633 {634 "data": {635 "text/plain": [636 "(tensor([[ 0.6579, -0.4651],\n",637 " [ 0.6319, -0.7347],\n",638 " [-1.0086, -0.1240],\n",639 " [-0.9666, -0.2256],\n",640 " [-0.1666, 0.7994]]),\n",641 " torch.Size([800, 2]))"642 ]643 },644 "execution_count": 21,645 "metadata": {},646 "output_type": "execute_result"647 }648 ],649 "source": [650 "X_train[:5],X_train.shape"651 ]652 },653 {654 "cell_type": "code",655 "execution_count": 22,656 "id": "34c3080c-28a4-475d-b6e1-a303c7e322e7",657 "metadata": {},658 "outputs": [659 {660 "name": "stdout",661 "output_type": "stream",662 "text": [663 "Epoch: 0 | Loss: 0.69379, Accuracy: 49.62% | Test loss: 0.69784, Test acc: 46.50%\n",664 "Epoch: 10 | Loss: 0.69358, Accuracy: 49.75% | Test loss: 0.69751, Test acc: 47.00%\n",665 "Epoch: 20 | Loss: 0.69345, Accuracy: 50.38% | Test loss: 0.69723, Test acc: 46.50%\n",666 "Epoch: 30 | Loss: 0.69336, Accuracy: 51.00% | Test loss: 0.69699, Test acc: 46.50%\n",667 "Epoch: 40 | Loss: 0.69329, Accuracy: 51.00% | Test loss: 0.69677, Test acc: 47.00%\n",668 "Epoch: 50 | Loss: 0.69323, Accuracy: 50.88% | Test loss: 0.69657, Test acc: 47.00%\n",669 "Epoch: 60 | Loss: 0.69319, Accuracy: 50.88% | Test loss: 0.69639, Test acc: 46.50%\n",670 "Epoch: 70 | Loss: 0.69315, Accuracy: 50.88% | Test loss: 0.69622, Test acc: 47.00%\n",671 "Epoch: 80 | Loss: 0.69312, Accuracy: 50.75% | Test loss: 0.69608, Test acc: 47.00%\n",672 "Epoch: 90 | Loss: 0.69310, Accuracy: 50.75% | Test loss: 0.69594, Test acc: 47.50%\n"673 ]674 }675 ],676 "source": [677 "# 較差的model\n",678 "\n",679 "torch.manual_seed(42)\n",680 "\n",681 "# Set the number of epochs\n",682 "epochs = 100\n",683 "\n",684 "# Put data to target device\n",685 "X_train, y_train = X_train.to(device), y_train.to(device)\n",686 "X_test, y_test = X_test.to(device), y_test.to(device)\n",687 "\n",688 "# Build training and evaluation loop\n",689 "for epoch in range(epochs):\n",690 " ### Training\n",691 " model_0.train()\n",692 "\n",693 " # 1. Forward pass (model outputs raw logits)\n",694 " # y_logits.shape為([資料筆數 , out_feature])\n",695 " y_logits = model_0(X_train).squeeze() # squeeze to remove extra `1` dimensions, this won't work unless model and data are on same device \n",696 " y_pred = torch.round(torch.sigmoid(y_logits)) # turn logits -> pred probs -> pred labls\n",697 " \n",698 " # 2. Calculate loss/accuracy\n",699 " # loss = loss_fn(torch.sigmoid(y_logits), # Using nn.BCELoss you need torch.sigmoid()\n",700 " # y_train) \n",701 " loss = loss_fn(y_logits, # Using nn.BCEWithLogitsLoss works with raw logits\n",702 " y_train) \n",703 " acc = accuracy_fn(y_true=y_train, \n",704 " y_pred=y_pred) \n",705 "\n",706 " # 3. Optimizer zero grad\n",707 " optimizer.zero_grad()\n",708 "\n",709 " # 4. Loss backwards\n",710 " loss.backward()\n",711 "\n",712 " # 5. Optimizer step\n",713 " optimizer.step()\n",714 "\n",715 " ### Testing\n",716 " model_0.eval()\n",717 " with torch.inference_mode():\n",718 " # 1. Forward pass\n",719 " test_logits = model_0(X_test).squeeze() \n",720 " test_pred = torch.round(torch.sigmoid(test_logits))\n",721 " # 2. Caculate loss/accuracy\n",722 " # loss_fn(預測輸出 , 真實標籤)\n",723 " test_loss = loss_fn(test_logits,\n",724 " y_test)\n",725 " test_acc = accuracy_fn(y_true=y_test,\n",726 " y_pred=test_pred)\n",727 "\n",728 " # Print out what's happening every 10 epochs\n",729 " if epoch % 10 == 0:\n",730 " print(f\"Epoch: {epoch} | Loss: {loss:.5f}, Accuracy: {acc:.2f}% | Test loss: {test_loss:.5f}, Test acc: {test_acc:.2f}%\")"731 ]732 },733 {734 "cell_type": "code",735 "execution_count": 23,736 "id": "f60e98da-d0be-4e23-bc32-f62cb07fc8c8",737 "metadata": {},738 "outputs": [739 {740 "name": "stdout",741 "output_type": "stream",742 "text": [743 "helper_functions.py already exists, skipping download\n"744 ]745 }746 ],747 "source": [748 "import requests\n",749 "from pathlib import Path \n",750 "\n",751 "# Download helper functions from Learn PyTorch repo (if not already downloaded)\n",752 "if Path(\"helper_functions.py\").is_file():\n",753 " print(\"helper_functions.py already exists, skipping download\")\n",754 "else:\n",755 " print(\"Downloading helper_functions.py\")\n",756 " request = requests.get(\"https://raw.githubusercontent.com/mrdbourke/pytorch-deep-learning/main/helper_functions.py\")\n",757 " with open(\"helper_functions.py\", \"wb\") as f:\n",758 " f.write(request.content)\n",759 "\n",760 "from helper_functions import plot_predictions, plot_decision_boundary"761 ]762 },763 {764 "cell_type": "code",765 "execution_count": 24,766 "id": "84acb700-5f8b-44dd-8d66-1930b54f5efc",767 "metadata": {},768 "outputs": [769 {770 "data": {771 "image/png": 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",772 "text/plain": [773 "<Figure size 1200x600 with 2 Axes>"774 ]775 },776 "metadata": {},777 "output_type": "display_data"778 }779 ],780 "source": [781 "# Plot decision boundaries for training and test sets\n",782 "plt.figure(figsize=(12, 6)) # 圖表大小\n",783 "plt.subplot(1, 2, 1) # 拆分為1行2列,由第一位置(左邊)開始畫\n",784 "plt.title(\"Train\")\n",785 "plot_decision_boundary(model_0, X_train, y_train)\n",786 "plt.subplot(1, 2, 2) # 拆分為1行2列,由第二位置(右邊)開始畫\n",787 "plt.title(\"Test\")\n",788 "plot_decision_boundary(model_0, X_test, y_test)\n",789 "# 測試與訓練資料的 decision boundary\n",790 "# 此圖呈現的decision boundary十分接近於線性,但對於此資料的狀態應該要是圓形(區分紅藍)"791 ]792 },793 {794 "cell_type": "code",795 "execution_count": 25,796 "id": "b5d3a59d-c83c-47fd-a7e8-2b1560d8e7b5",797 "metadata": {},798 "outputs": [799 {800 "data": {801 "text/plain": [802 "CircleModelV1(\n",803 " (layer_1): Linear(in_features=2, out_features=10, bias=True)\n",804 " (layer_2): Linear(in_features=10, out_features=10, bias=True)\n",805 " (layer_3): Linear(in_features=10, out_features=1, bias=True)\n",806 ")"807 ]808 },809 "execution_count": 25,810 "metadata": {},811 "output_type": "execute_result"812 }813 ],814 "source": [815 "# improve the model => more layer and Neural unit\n",816 "class CircleModelV1(nn.Module):\n",817 " def __init__(self):\n",818 " super().__init__()\n",819 " self.layer_1 = nn.Linear(in_features=2, out_features=10)\n",820 " self.layer_2 = nn.Linear(in_features=10, out_features=10) # extra layer\n",821 " self.layer_3 = nn.Linear(in_features=10, out_features=1)\n",822 " \n",823 " def forward(self, x): # note: always make sure forward is spelt correctly!\n",824 " # Creating a model like this is the same as below, though below\n",825 " # generally benefits from speedups where possible.\n",826 " # z = self.layer_1(x)\n",827 " # z = self.layer_2(z)\n",828 " # z = self.layer_3(z)\n",829 " # return z\n",830 " return self.layer_3(self.layer_2(self.layer_1(x)))\n",831 "\n",832 "model_1 = CircleModelV1().to(device)\n",833 "model_1"834 ]835 },836 {837 "cell_type": "code",838 "execution_count": 26,839 "id": "a027f2a3-f7f5-4513-a6ff-4ba46943a7a2",840 "metadata": {},841 "outputs": [],842 "source": [843 "# loss_fn = nn.BCELoss() # Requires sigmoid on input\n",844 "loss_fn = nn.BCEWithLogitsLoss() # Does not require sigmoid on input\n",845 "optimizer = torch.optim.SGD(model_1.parameters(), lr=0.1)"846 ]847 },848 {849 "cell_type": "code",850 "execution_count": 27,851 "id": "f02d64d6-0485-4bbf-9287-40cc46c81895",852 "metadata": {},853 "outputs": [854 {855 "name": "stdout",856 "output_type": "stream",857 "text": [858 "Epoch: 0 | Loss: 0.69396, Accuracy: 50.88% | Test loss: 0.69261, Test acc: 51.00%\n",859 "Epoch: 100 | Loss: 0.69305, Accuracy: 50.38% | Test loss: 0.69379, Test acc: 48.00%\n",860 "Epoch: 200 | Loss: 0.69299, Accuracy: 51.12% | Test loss: 0.69437, Test acc: 46.00%\n",861 "Epoch: 300 | Loss: 0.69298, Accuracy: 51.62% | Test loss: 0.69458, Test acc: 45.00%\n",862 "Epoch: 400 | Loss: 0.69298, Accuracy: 51.12% | Test loss: 0.69465, Test acc: 46.00%\n",863 "Epoch: 500 | Loss: 0.69298, Accuracy: 51.00% | Test loss: 0.69467, Test acc: 46.00%\n",864 "Epoch: 600 | Loss: 0.69298, Accuracy: 51.00% | Test loss: 0.69468, Test acc: 46.00%\n",865 "Epoch: 700 | Loss: 0.69298, Accuracy: 51.00% | Test loss: 0.69468, Test acc: 46.00%\n",866 "Epoch: 800 | Loss: 0.69298, Accuracy: 51.00% | Test loss: 0.69468, Test acc: 46.00%\n",867 "Epoch: 900 | Loss: 0.69298, Accuracy: 51.00% | Test loss: 0.69468, Test acc: 46.00%\n"868 ]869 }870 ],871 "source": [872 "torch.manual_seed(42)\n",873 "\n",874 "epochs = 1000 # Train for longer\n",875 "\n",876 "# Put data to target device\n",877 "X_train, y_train = X_train.to(device), y_train.to(device)\n",878 "X_test, y_test = X_test.to(device), y_test.to(device)\n",879 "\n",880 "for epoch in range(epochs):\n",881 " ### Training\n",882 " # 1. Forward pass\n",883 " y_logits = model_1(X_train).squeeze()\n",884 " y_pred = torch.round(torch.sigmoid(y_logits)) # logits -> prediction probabilities -> prediction labels\n",885 "\n",886 " # 2. Calculate loss/accuracy\n",887 " loss = loss_fn(y_logits, y_train)\n",888 " acc = accuracy_fn(y_true=y_train, \n",889 " y_pred=y_pred)\n",890 "\n",891 " # 3. Optimizer zero grad\n",892 " optimizer.zero_grad()\n",893 "\n",894 " # 4. Loss backwards\n",895 " loss.backward()\n",896 "\n",897 " # 5. Optimizer step\n",898 " optimizer.step()\n",899 "\n",900 " ### Testing\n",901 " model_1.eval()\n",902 " with torch.inference_mode():\n",903 " # 1. Forward pass\n",904 " test_logits = model_1(X_test).squeeze() \n",905 " test_pred = torch.round(torch.sigmoid(test_logits))\n",906 " # 2. Caculate loss/accuracy\n",907 " test_loss = loss_fn(test_logits,\n",908 " y_test)\n",909 " test_acc = accuracy_fn(y_true=y_test,\n",910 " y_pred=test_pred)\n",911 "\n",912 " # Print out what's happening every 10 epochs\n",913 " if epoch % 100 == 0:\n",914 " print(f\"Epoch: {epoch} | Loss: {loss:.5f}, Accuracy: {acc:.2f}% | Test loss: {test_loss:.5f}, Test acc: {test_acc:.2f}%\")\n"915 ]916 },917 {918 "cell_type": "code",919 "execution_count": 28,920 "id": "fc5a8702-1185-4520-b79b-202a3eac8a1d",921 "metadata": {},922 "outputs": [923 {924 "data": {925 "image/png": 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",926 "text/plain": [927 "<Figure size 1200x600 with 2 Axes>"928 ]929 },930 "metadata": {},931 "output_type": "display_data"932 }933 ],934 "source": [935 "# Plot decision boundaries for training and test sets\n",936 "plt.figure(figsize=(12, 6))\n",937 "plt.subplot(1, 2, 1)\n",938 "plt.title(\"Train\")\n",939 "plot_decision_boundary(model_1, X_train, y_train)\n",940 "plt.subplot(1, 2, 2)\n",941 "plt.title(\"Test\")\n",942 "plot_decision_boundary(model_1, X_test, y_test)"943 ]944 },945 {946 "cell_type": "markdown",947 "id": "7cba671b-00e9-4be8-9264-7e653e0cff31",948 "metadata": {},949 "source": [950 "## Preparing data to see if our model can model a straight line"951 ]952 },953 {954 "cell_type": "code",955 "execution_count": 29,956 "id": "a7a1c36a-4cd8-4bca-9215-e81fe3a54dc0",957 "metadata": {},958 "outputs": [959 {960 "name": "stdout",961 "output_type": "stream",962 "text": [963 "100\n"964 ]965 },966 {967 "data": {968 "text/plain": [969 "(tensor([[0.0000],\n",970 " [0.0100],\n",971 " [0.0200],\n",972 " [0.0300],\n",973 " [0.0400]]),\n",974 " torch.Size([100, 1]),\n",975 " 2,\n",976 " tensor([[0.3000],\n",977 " [0.3070],\n",978 " [0.3140],\n",979 " [0.3210],\n",980 " [0.3280]]))"981 ]982 },983 "execution_count": 29,984 "metadata": {},985 "output_type": "execute_result"986 }987 ],988 "source": [989 "# Create some data (same as notebook 01)\n",990 "weight = 0.7\n",991 "bias = 0.3\n",992 "start = 0\n",993 "end = 1\n",994 "step = 0.01\n",995 "\n",996 "# Create data\n",997 "X_regression = torch.arange(start, end, step).unsqueeze(dim=1)\n",998 "y_regression = weight * X_regression + bias # linear regression formula\n",999 "\n",1000 "# Check the data\n",1001 "print(len(X_regression))\n",1002 "X_regression[:5], X_regression.shape, X_regression.ndim, y_regression[:5]"1003 ]1004 },1005 {1006 "cell_type": "code",1007 "execution_count": 30,1008 "id": "aee1da99-601a-4fba-b86f-608c05ddba1e",1009 "metadata": {},1010 "outputs": [1011 {1012 "name": "stdout",1013 "output_type": "stream",1014 "text": [1015 "80 80 20 20\n"1016 ]1017 }1018 ],1019 "source": [1020 "# Create train and test splits\n",1021 "train_split = int(0.8 * len(X_regression)) # 80% of data used for training set\n",1022 "X_train_regression, y_train_regression = X_regression[:train_split], y_regression[:train_split]\n",1023 "X_test_regression, y_test_regression = X_regression[train_split:], y_regression[train_split:]\n",1024 "\n",1025 "# Check the lengths of each split\n",1026 "print(len(X_train_regression), \n",1027 " len(y_train_regression), \n",1028 " len(X_test_regression), \n",1029 " len(y_test_regression))"1030 ]1031 },1032 {1033 "cell_type": "code",1034 "execution_count": 31,1035 "id": "0a5b5389-d2b0-45ed-88bc-2d7104da34f4",1036 "metadata": {},1037 "outputs": [1038 {1039 "data": {1040 "image/png": 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",1041 "text/plain": [1042 "<Figure size 1000x700 with 1 Axes>"1043 ]1044 },1045 "metadata": {},1046 "output_type": "display_data"1047 }1048 ],1049 "source": [1050 "plot_predictions(train_data=X_train_regression,\n",1051 " train_labels=y_train_regression,\n",1052 " test_data=X_test_regression,\n",1053 " test_labels=y_test_regression\n",1054 ");"1055 ]1056 },1057 {1058 "cell_type": "code",1059 "execution_count": 32,1060 "id": "ebf7d162-06e0-4afb-9b22-3c75d78f5652",1061 "metadata": {},1062 "outputs": [1063 {1064 "data": {1065 "text/plain": [1066 "Sequential(\n",1067 " (0): Linear(in_features=1, out_features=10, bias=True)\n",1068 " (1): Linear(in_features=10, out_features=10, bias=True)\n",1069 " (2): Linear(in_features=10, out_features=1, bias=True)\n",1070 ")"1071 ]1072 },1073 "execution_count": 32,1074 "metadata": {},1075 "output_type": "execute_result"1076 }1077 ],1078 "source": [1079 "# Same architecture as model_1 (but using nn.Sequential)\n",1080 "model_2 = nn.Sequential(\n",1081 " nn.Linear(in_features=1, out_features=10),\n",1082 " nn.Linear(in_features=10, out_features=10),\n",1083 " nn.Linear(in_features=10, out_features=1)\n",1084 ").to(device)\n",1085 "\n",1086 "model_2"1087 ]1088 },1089 {1090 "cell_type": "code",1091 "execution_count": 33,1092 "id": "27c85121-2636-4064-8263-654edb75dc79",1093 "metadata": {},1094 "outputs": [],1095 "source": [1096 "# Loss and optimizer\n",1097 "loss_fn = nn.L1Loss()\n",1098 "optimizer = torch.optim.SGD(model_2.parameters(), lr=0.1)"1099 ]1100 },1101 {1102 "cell_type": "code",1103 "execution_count": 34,1104 "id": "04e67aa8-e2c0-456c-89db-e434d985fc69",1105 "metadata": {},1106 "outputs": [1107 {1108 "name": "stdout",1109 "output_type": "stream",1110 "text": [1111 "Epoch: 0 | Train loss: 0.75986, Test loss: 0.54143\n",1112 "Epoch: 100 | Train loss: 0.09309, Test loss: 0.02901\n",1113 "Epoch: 200 | Train loss: 0.07376, Test loss: 0.02850\n",1114 "Epoch: 300 | Train loss: 0.06745, Test loss: 0.00615\n",1115 "Epoch: 400 | Train loss: 0.06107, Test loss: 0.02004\n",1116 "Epoch: 500 | Train loss: 0.05698, Test loss: 0.01061\n",1117 "Epoch: 600 | Train loss: 0.04857, Test loss: 0.01326\n",1118 "Epoch: 700 | Train loss: 0.06109, Test loss: 0.02127\n",1119 "Epoch: 800 | Train loss: 0.05599, Test loss: 0.01426\n",1120 "Epoch: 900 | Train loss: 0.05571, Test loss: 0.00603\n"1121 ]1122 }1123 ],1124 "source": [1125 "# Train the model\n",1126 "torch.manual_seed(42)\n",1127 "\n",1128 "# Set the number of epochs\n",1129 "epochs = 1000\n",1130 "\n",1131 "# Put data to target device\n",1132 "X_train_regression, y_train_regression = X_train_regression.to(device), y_train_regression.to(device)\n",1133 "X_test_regression, y_test_regression = X_test_regression.to(device), y_test_regression.to(device)\n",1134 "\n",1135 "for epoch in range(epochs):\n",1136 " ### Training \n",1137 " # 1. Forward pass\n",1138 " y_pred = model_2(X_train_regression)\n",1139 " \n",1140 " # 2. Calculate loss (no accuracy since it's a regression problem, not classification)\n",1141 " loss = loss_fn(y_pred, y_train_regression)\n",1142 "\n",1143 " # 3. Optimizer zero grad\n",1144 " optimizer.zero_grad()\n",1145 "\n",1146 " # 4. Loss backwards\n",1147 " loss.backward()\n",1148 "\n",1149 " # 5. Optimizer step\n",1150 " optimizer.step()\n",1151 "\n",1152 " ### Testing\n",1153 " model_2.eval()\n",1154 " with torch.inference_mode():\n",1155 " # 1. Forward pass\n",1156 " test_pred = model_2(X_test_regression)\n",1157 " # 2. Calculate the loss \n",1158 " test_loss = loss_fn(test_pred, y_test_regression)\n",1159 "\n",1160 " # Print out what's happening\n",1161 " if epoch % 100 == 0: \n",1162 " print(f\"Epoch: {epoch} | Train loss: {loss:.5f}, Test loss: {test_loss:.5f}\")"1163 ]1164 },1165 {1166 "cell_type": "code",1167 "execution_count": 35,1168 "id": "96b87097-4918-4de2-8248-2f8768d3a44a",1169 "metadata": {},1170 "outputs": [1171 {1172 "data": {1173 "text/plain": [1174 "(tensor([[0.7367],\n",1175 " [0.7422],\n",1176 " [0.7478],\n",1177 " [0.7533],\n",1178 " [0.7589],\n",1179 " [0.7644],\n",1180 " [0.7700],\n",1181 " [0.7755],\n",1182 " [0.7811],\n",1183 " [0.7866],\n",1184 " [0.7922],\n",1185 " [0.7977],\n",1186 " [0.8033],\n",1187 " [0.8088],\n",1188 " [0.8144],\n",1189 " [0.8199],\n",1190 " [0.8255],\n",1191 " [0.8310],\n",1192 " [0.8366],\n",1193 " [0.8421]], device='cuda:0'),\n",1194 " torch.Size([20, 1]))"1195 ]1196 },1197 "execution_count": 35,1198 "metadata": {},1199 "output_type": "execute_result"1200 }