Deep Learning: A Practitioner's Approach (O'Reilly)
Deep Learning: A Practitioner's Approach (O'Reilly)
Thursday, 28 September 2017

This book sets out to show how machine learning, especially deep neural networks, can make a real difference. The hands-on guide provides practical information and also helps you get started building efficient deep learning networks. Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows.

<ASIN:1491914254>

The book uses real-world examples to illustrate methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J.

Author: Josh Patterson and Adam Gibson
Publisher: O'Reilly
Date: August 2017
Pages: 536
ISBN: 978-1491914250
Print: 1491914254
Kindle: B074D5YF1D
Audience: Java engineers and practicing data scientists
Level: Intermediate
Category: Artificial Intelligence

 

 

  • Dive into machine learning concepts in general, as well as deep learning in particular
  • Understand how deep networks evolved from neural network fundamentals
  • Explore the major deep network architectures, including Convolutional and Recurrent
  • Learn how to map specific deep networks to the right problem
  • Walk through the fundamentals of tuning general neural networks and specific deep network architectures
  • Use vectorization techniques for different data types with DataVec, DL4J’s workflow tool
  • Learn how to use DL4J natively on Spark and Hadoop

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Head First JavaScript Programming

Authors: Eric T. Freeman and Elisabeth Robson
Publisher: O'Reilly
Pages: 704
ISBN: 978-1449340131
Print: 144934013X
Kindle: B00J9TMSDU
Audience: Novice JavaScript programmers
Rating: 3.5
Reviewer: Ian Elliot

 

Is JavaScript suitable for the distinctive Head First format?



Front-End Web Development

Author: Chris Aquino, Todd Gandee
Publisher: Big Nerd Ranch Guides
Pages: 478
ISBN: 978-0134433943
Print: 0134433947
Kindle: B01J3RV0BI
Audience: Wannabe Front-end programmers
Rating: 4
Reviewer: Ian Elliot

 

A Big Nerd Ranch book is big - is it also everything you need to know about front-end  [ ... ]


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