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Deep Learning with PyTorch Quick Start Guide

You're reading from Deep Learning with PyTorch Quick Start Guide Learn to train and deploy neural network models in Python

Product type Paperback

Published in Dec 2018

Publisher Packt

ISBN-13 9781789534092

Length 158 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Author (1):

David Julian

View More author details

Table of Contents (8) Chapters

Preface

1. Introduction to PyTorch FREE CHAPTER

2. Deep Learning Fundamentals

3. Computational Graphs and Linear Models

4. Convolutional Networks

5. Other NN Architectures

6. Getting the Most out of PyTorch

7. Other Books You May Enjoy

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Authors (1)

David Julian

David Julian

David Julian is a freelance technology consultant and educator. He has worked as a consultant for government, private, and community organizations on a variety of projects, including using machine learning to detect insect outbreaks in controlled agricultural environments (Urban Ecological Systems Ltd., Bluesmart Farms), designing and implementing event management data systems (Sustainable Industry Expo, Lismore City Council), and designing multimedia interactive installations (Adelaide University). He has also written Designing Machine Learning Systems With Python for Packt Publishing and was a technical reviewer for Python Machine Learning and Hands-On Data Structures and Algorithms with Python - Second Edition, published by Packt.

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