Pytorch: The Practical Guide - Bert Gollnick

nPyTorch is the framework for deep learning--so dive on in! Learn how to train, optimize, and deploy AI models with PyTorch by following practical exercises and example code. You'll walk through using PyTorch for linear regression, classification, image processing, recommendation systems, autoencoders, graph neural networks, time series predictions, and language models--all the essentials. Then evaluate and deploy your models using key tools like MLflow, TensorBoard, and FastAPI. With information on fine-tuning your models using HuggingFace and reducing training time with PyTorch Lightning, this practical guide is the one you need! n nHighlights: n n1) Deep learning n2) Linear regression n3) Classification n4) Computer vision n5) Recommendation systems n6) Autoencoders n7) Graph neural networks (GNNs) n8) Time series predictions n9) Language models n10) Pretrained networks n11) Evaluation and deployment n12) PyTorch Lightning n nn