You're reading from Mastering PyTorch

Product typeBook

Published inFeb 2021

Reading LevelIntermediate

PublisherPackt

ISBN-139781789614381

Edition1st Edition

Languages

Python

Tools

PyTorch

Concepts

Deep Learning

Author (1)

Ashish Ranjan Jha

Section 2: Working with Advanced Neural Network Architectures

In this section, we'll use PyTorch to showcase some of the most advanced neural network architectures at the time of writing, as well as demonstrate their applications in real-life problems. Upon completing this section, you will be up to date with the most cutting-edge technologies in the world of convolutional, recurrent, and hybrid deep learning models and will be able to apply these models to advanced machine learning tasks.

This section comprises the following chapters:

Chapter 3, Deep CNN Architectures
Chapter 4, Deep Recurrent Model Architectures
Chapter 5, Hybrid Advanced Models

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Published in: Feb 2021Publisher: PacktISBN-13: 9781789614381

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Author (1)

Ashish Ranjan Jha

Ashish Ranjan Jha received his bachelor's degree in electrical engineering from IIT Roorkee (India), a master's degree in Computer Science from EPFL (Switzerland), and an MBA degree from Quantic School of Business (Washington). He has received a distinction in all 3 of his degrees. He has worked for large technology companies, including Oracle and Sony as well as the more recent tech unicorns such as Revolut, mostly focused on artificial intelligence. He currently works as a machine learning engineer. Ashish has worked on a range of products and projects, from developing an app that uses sensor data to predict the mode of transport to detecting fraud in car damage insurance claims. Besides being an author, machine learning engineer, and data scientist, he also blogs frequently on his personal blog site about the latest research and engineering topics around machine learning.
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