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Modern PyTorch Guide home page

Official Docs
GitHub
GitHub

Building Models

Community
Forums

Getting Started

Overview
Study Plan 1
Study Plan 2

Tensors & Operations

Introduction to Tensors
Tensor Creation
Indexing & Slicing
Tensor Operations
Broadcasting
Views strides
Named tensors
Tensor attributes
Notes

Autograd & Differentiation

Autograd Basics
Computational Graph
Custom Autograd Functions
Gradients Explained
Requires grad
Forward mode

Neural Network Basics

nn.Module Basics
Parameters & Buffers
Forward Pass
Hooks
State dict
Init strategies

Data Loading

Datasets
DataLoaders
Transforms
Samplers
Pin memory
Webdataset

ETL Process

Overview

Computational Graph

Autograd & Differentiation

Computational Graph

Understanding the dynamic computation graph

Computational Graph

How PyTorch builds and uses the computation graph for backpropagation.

Autograd Basics Custom Autograd Functions

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