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 by
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
Deep Learning with PyTorch Lightning
- About Book
- Who Is This Book For?
- Book Content
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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