Deep Learning with PyTorch: A beginner's guide to create dynamic neural network modeling in Python

by Vishnu Subramanian

This book provides the intuition behind the state of the art Deep Learning architectures such as ResNet, DenseNet, Inception, and encoder-decoder without diving deep into the math of it. It shows how you can implement and use various architectures to solve problems in the area of image classification, language translation and NLP using PyTorch.

Kindle Edition

Published February 23, 2018

Reviews

[Hannah · Rating 3 out of 5]

This book is quite shallow for research purpose, yet quite helpful for novices in deep learning.

Pros: step-by-step explanation; beneficial for engineers.
Cons: not much inspiration for research purpose. Minor mistakes in codes in GitHub.