PyTorch is an open-source machine-learning and deep-learning framework developed by Meta.
Tensor
Tensors are the fundamental building block of machine learning in PyTorch — learn what they are, how to manipulate them, and how to use them on a GPU.
Workflow
A full PyTorch model cycle — data, model, training, evaluation and saving — illustrated step by step on a regression problem.
Classification
Train neural networks to assign discrete labels — binary and multi-class classification with PyTorch.
Vision
Train convolutional neural networks on image data with PyTorch and torchvision — from FashionMNIST warm-up to an MNIST capstone.
Custom datasets
Load your own data into PyTorch with Dataset, DataLoader, ImageFolder, samplers and a transforms pipeline.
Transfer learning
Reuse pretrained torchvision models on your own dataset to reach strong accuracy with very little data and very little training time.
On this page
This series adapts the topics of Learn PyTorch for Deep Learning for Windows with uv.