E-book details

Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python

Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python

David Julian

Ebook
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.

You will learn how to optimize models by tuning hyperparameters and how to use PyTorch in multiprocessor and distributed environments. We will discuss long short-term memory network (LSTMs) and build a language model to predict text.

By the end of this book, you will be familiar with PyTorch's capabilities and be able to utilize the library to train your neural networks with relative ease.
  • 1. Introduction to PyTorch
  • 2. Deep Learning Fundamentals
  • 3. Computational Graphs and Linear Models
  • 4. Convolutional Networks
  • 5. Other NN Architectures
  • 6. Getting the Most out of PyTorch
  • Title: Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python
  • Author: David Julian
  • Original title: Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python
  • ISBN: 9781789539738, 9781789539738
  • Date of issue: 2018-12-24
  • Format: Ebook
  • Item ID: e_15e3
  • Publisher: Packt Publishing