Book

Deep Learning with PyTorch Lightning

This book will introduce you to the basics of PyTorch Lightning and how you can build deep learning models from scratch. You'll learn techniques for building a variety of model network architecture, debugging them, and tuning them by utilizing some of the advanced features of the PyTorch Lightning framework to research and invent new methods.

Offered byPackt Logo

Difficulty Level

Intermediate

Completion Time

12h12m

Language

English

About Book

Who Is This Book For?

If you’re a data scientist curious about deep learning but don't know where to start or feel intimidated by the complexities of large neural networks, then this book is for you. Expert data scientists making the transition from other DL frameworks to PyTorch will also find plenty of useful information in this book, as will researchers interested in using PyTorch Lightning as a reference guide. To get started, you’ll need a solid grasp on Python; the book will teach you the rest

Book content

chapters 12h12m total length

PyTorch Lightning Adventure

Getting Off the Ground with Your First Deep Learning Model

Transfer Learning Using Pre-Trained Models

Ready-to- Use Models from Bolts

Time Series Models

Deep Generative Models

Semi-Supervised Learning

Self-Supervised Learning

Deploying and Scoring Models

Scaling and Managing Training

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