Learn PYTORCH with Real Code Examples
Updated Nov 24, 2025
Learning Path
Learn Python and NumPy basics
Understand core ML and neural network concepts
Study autograd and tensor operations
Build and train neural networks in PyTorch
Deploy models using TorchScript or ONNX
Skill Improvement Plan
Week 1: Python, NumPy, and tensors
Week 2: Simple neural networks with nn.Linear
Week 3: CNNs for image tasks
Week 4: RNNs, LSTMs, Transformers for sequences
Week 5: Advanced pipelines, deployment, and distributed training
Interview Questions
Explain dynamic computation graphs in PyTorch
How does autograd work?
What is nn.Module and why is it important?
How do you move tensors between CPU and GPU?
Explain TorchScript and deployment options
Cheat Sheet
Tensor = n-dimensional array
forward() = model forward pass
backward() = gradient computation
state_dict = model parameters
DataLoader = batching and shuffling data
Books
Deep Learning with PyTorch
Programming PyTorch for Deep Learning
PyTorch Recipes
Hands-On Deep Learning with PyTorch
PyTorch 1.x Reinforcement Learning Projects
Tutorials
Official PyTorch tutorials
YouTube courses and workshops
MOOCs like Fast.ai and Udemy
Community blog guides
Sample projects on GitHub
Official Docs
https://pytorch.org/
https://pytorch.org/docs/stable/index.html
https://github.com/pytorch/pytorch
Community Links
PyTorch GitHub repository
PyTorch forums
StackOverflow
Reddit /r/MachineLearning
YouTube tutorials and walkthroughs
Community Support
PyTorch GitHub repository
PyTorch forums and discussion boards
StackOverflow
Reddit /r/MachineLearning
Tutorials on YouTube and blogs