Hands-On PyTorch Tutorial

Learn PyTorch systematically through this comprehensive hands-on tutorial that guides you step-by-step from installation to building complete neural networks. Master GPU-based deep learning fundamentals starting with PyTorch and CUDA installation, then progress through essential concepts including tensor operations, dataset handling with DataLoaders and transforms, and neural network construction. Explore PyTorch's computational graph architecture using Torchviz visualization tools, understand backpropagation algorithms and gradient descent with clear explanations, and gain practical experience training neural networks from scratch. Complete the learning journey by building an image classifier using TorchVision in just 10 minutes, providing you with both theoretical understanding and practical implementation skills for deep learning projects.

Syllabus

GPU-based deep learning (2023) series 1: PyTorch & CUDA installation guide
Introduction to Tensors (PyTorch with GPU series, part 2)
PyTorch Datasets, DataLoaders and Transforms (PyTorch w/ GPU series, part 3)
Building neural networks with PyTorch (PyTorch w/ GPU tutorial, part 4)
PyTorch's Computational Graph + Torchviz | PyTorch (2023)
Backpropagation algorithm & gradient descent, but explain it like I'm 5
Train a PyTorch neural network step-by-step | PyTorch deep learning (Feb 2023)
TorchVision Quick Start: Image classifier in 10 mins