Topics

20

Duration

32 Weeks

Progress

0/20

Learning Progress0%
PyTorch
AI Roadmap

PyTorch

Learning Path

Follow these concepts in order to master this topic.

1
Introduction to PyTorch
2
Installing PyTorch
3
PyTorch Tensors
4
Tensor Operations
5
Autograd
6
Automatic Differentiation
7
Building Neural Networks with torch.nn
8
Loss Functions
9
Optimizers
10
Training Loop
11
Evaluation Loop
12
Working with Datasets
13
DataLoader
14
Custom Dataset Classes
15
GPU Training
16
Transfer Learning
17
Saving & Loading Models
18
Inference
19
PyTorch Best Practices
20
Introduction to PyTorch Lightning

Documentation

Official documentation and references.

Video Courses

Recommended free video courses.

Practice Websites

Practice what you've learned.

Projects

Apply what you've learned by building real projects.

MNIST Digit Classifier with PyTorch
Beginner
Cats vs Dogs Image Classifier
Intermediate
Build an End-to-End Image Classification Pipeline
Advanced

Tools

Recommended tools for this topic.