BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Deep Learning from Scratch: Building with Python from First Principles

Deep Learning from Scratch: Building with Python from First Principles

Deep Learning from Scratch: Building with Python from First Principles Paperback - 2019

by Weidman, Seth

Add to wish list
  • Used
  • very good
  • Paperback
Used - Very good

Description

Paperback. Very Good.
Ask the seller a question Add to wish list
A$62.86
A$16.73 Delivery to USA
Standard delivery: 7 to 40 days
More delivery options
Ships from World of Books Ltd (West Sussex, United Kingdom)

Details

  • Title Deep Learning from Scratch: Building with Python from First Principles
  • Author Weidman, Seth
  • Binding Paperback
  • Condition Used - Very good
  • Pages 250
  • Volumes 1
  • Language ENG
  • Publisher O'Reilly Media
  • Publication date 2019-10-15
  • Features Bibliography, Index
  • Bookseller's Inventory # GOR010783260
  • ISBN 9781492041412 / 1492041416
  • Weight 0.9 lbs (0.41 kg)
  • Dimensions 9.19 x 7 x 0.53 in (23.34 x 17.78 x 1.35 cm)
  • Category Computers - Other Applications
  • Library of Congress subjects Artificial intelligence, Python (Computer program language)
  • Dewey Decimal Code 006.32
  • Quantity available 2

About World of Books Ltd West Sussex, United Kingdom

Biblio member since 2007

In 2002, World of Books was founded on an ethos to do good, protect the planet, and support charities by enabling more goods to be reused. Since then, we've grown into a global pioneer, dedicated to helping people read more and waste less. Through the World of Books brand, customers can now buy and sell with us! We provide affordable, preloved books to book lovers all around the world, while also giving people the opportunity to contribute to the circular economy, earn money and protect the planet by trading in their unwanted books and media for cash. Through the B2B side of our business we've developed technology to help charities sell in bulk, meaning they can clear much needed floor space and make money for great causes at the same time. A new book will be sold once but their stories can be enjoyed by more than one owner. After all, a story doesn't change because it's been read before!

Terms of Sale:

If you are not completely satisfied with your purchase for any reason, simply email customerservice@worldofbooks.com and we will quickly resolve any issues you may have. If you have any other queries about your order, please email customerservice@worldofbooks.com. Our goal is to deliver to our customers the best possible service and we hope your experience of dealing with us lives up to our promise. If for whatever reason we fail to meet your expectations then please let us know.

Browse books from World of Books Ltd

Reader reviews for Deep Learning from Scratch: Building with Python from First Principles

From the publisher

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 provides:

  • 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

About the author

Seth Weidman is a data scientist who has applied and taught machine learning concepts for several years. He started out as the first data scientist at Trunk Club, where he built lead scoring models and recommender systems, and currently works at Facebook, where he builds machine learning models for their infrastructure team. In between he taught data science and machine learning for the bootcamps and on the corporate training team at Metis. He is passionate about explaining complex concepts simply, striving to find the simplicity on the other side of complexity.

tracking-