Annexure 8: End-to-End PyTorch Projects (Complete Code Pipelines).
Abstract: Below is the complete Annexure 8: End-to-End PyTorch Projects (Complete Code Pipelines) . **ANNEXURE 8 End-to-End PyTorch Projects (Complete Code Pipelines)** This annexure provides full, end-to-end project templates that include: Data loading Model building Training and evaluation Saving/loading Inference Deployment options Each project is kept concise yet fully functional—easy to extend for academic or production use. Included Projects: Image Classification (CNN) – CIFAR-10 Text Sentiment Analysis (LSTM/Embedding) Object Detection (Faster R-CNN) Time Series Forecasting (LSTM) Reinforcement Learning with DQN (CartPole) **PROJECT 1 Image Classification with CNN (CIFAR-10)** 1. Imports and Device Setup import torch import torch.nn as nn import torch.optim as optim from torch.utils.data import DataLoader from torchvision import datasets, transforms, models device = torch.device("cuda" if torch.c...