DEEP LEARNING FROM SCRATCH

Seth Weidman

ISBN 10: 935213902X / ISBN 13: 9789352139026

Published by Shroff/O'Reilly, 2019

About this Item

clean, sturdy and unmarked EP.

Seller Inventory # Sq40151

Bibliographic Details

• Title: DEEP LEARNING FROM SCRATCH
• Publisher: Shroff/O'Reilly
• Publication Date: 2019
• Language: English
• ISBN 10: 935213902X
• ISBN 13: 9789352139026
• Binding: unknown_binding
• Condition: Very Good
• Seller catalogs:
  • Mathematics

About this title

Synopsis

All Indian Reprints of O'Reilly are printed in Grayscale. With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You’ll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way. Author Seth Weidman shows you how neural networks work using a first principles approach. You’ll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, you’ll be set up for success on all future deep learning projects. This book Extremely clear and thorough mental models—accompanied by working code examples and mathematical explanations—for understanding neural networks Methods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented framework Working implementations and clear-cut explanations of convolutional and recurrent neural networks Implementation of these neural network concepts using the popular PyTorch framework