Top PyTorch books recommended by experts

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Table of Contents

Fundamentals of PyTorch

Understanding the concepts of PyTorch starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.

Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools

Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools

โ€œDeep Learning with PyTorchโ€ by Eli Stevens, Luca Antiga, Thomas Viehmann: This book provides a hands-on approach to learning deep learning and PyTorch. It covers the basics of deep learning and PyTorch, and provides hands-on examples of implementing various deep learning models using PyTorch.

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The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch

The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch

Want to get to grips with one of the most popular machine learning libraries for deep learning? The Deep Learning with PyTorch Workshop will help you do just that, jumpstarting your knowledge of using PyTorch for deep learning even if you're starting from scratch.

Recommended by the experts and mentors at MentorCruise

Deep Learning with PyTorch Quick Start Guide

Deep Learning with PyTorch Quick Start Guide

PyTorch is extremely powerful and yet easy to learn. It provides advanced features, such as supporting multiprocessor, distributed, and parallel computation. This book is an excellent entry point for those wanting to explore deep learning with PyTorch to harness its power. This book will introduce you to the PyTorch deep learning library and teach you how to train deep learning models without any hassle. We will set up the deep learning environment using PyTorch, and then train and deploy different types of deep learning models, such as CNN, RNN, and autoencoders.

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Pytorch Deep Learning By Example

Pytorch Deep Learning By Example

Artificial Intelligence (AI), Machine Learning especially Deep Learning has made tremendous progress in recent years. It starts to spread to all industries. Unless you are a refresh graduated student with AI/deep learning major, many of us do not have a formal machine learning/deep learning training before, so it is time to keep updated with latest technology.

Recommended by the experts and mentors at MentorCruise

PyTorch Pocket Reference: Building and Deploying Deep Learning Models

PyTorch Pocket Reference: Building and Deploying Deep Learning Models

This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the time you spend searching for answers.

Recommended by the experts and mentors at MentorCruise

Make Your First GAN With PyTorch

Make Your First GAN With PyTorch

A gentle introduction to Generative Adversarial Networks, and a practical step-by-step tutorial on making your own with PyTorch. This beginner-friendly guide will give you hands-on experience: learning PyTorch basics. developing your first PyTorch neural network.

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