Deep Learning With Python (Manning)
Thursday, 28 December 2017

This book offers a practical, hands-on exploration of deep learning. Author François Chollet, the creator of Keras and a Google AI researcher, avoids mathematical notation, preferring instead to explain quantitative concepts via code snippets and to build practical intuition about the core ideas of machine learning and deep learning. More than 30 code examples include detailed commentary, practical recommendations, and simple high-level explanations of everything you need to know to start using deep learning to solve concrete problems.

<ASIN:1617294438>

The code examples use the Python deep-learning framework Keras, with TensorFlow as a backend engine.

Author: François Chollet
Publisher: Manning
Date: Nov 2017
Pages: 384
ISBN: 978-1617294433
Print: 1617294438
Kindle: free with print book
Audience: AI developers
Level: intermediate
Category: Artificial Intelligence

 

deeppython

 

Contents include:

  • The mathematical building blocks of neural networks
  • Fundamentals of machine learning
  • Deep learning for computer vision
  • Deep learning for text and sequences
  • Advanced deep learning best practices
  • Generative deep learning

 

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Secret Recipes of the Python Ninja

Author: Cody Jackson
Publisher: Packt Publishing
Pages: 380
ISBN: 978-1788294874
Print: 1788294874
Kindle: B07BYBMGQT
Audience: Python developers
Rating: 3
Reviewer: Alex Armstrong

I've always wanted to be a ninja so this is the book for me - or is it?



Creating A Data-Driven Organization

Author: Carl Anderson
Publisher: O'Reilly
Pages: 302
ISBN: 978-1491916919
Print:1491916915
Kindle: B012UDK3KG
Audience: IT managers
Rating: 4
Reviewer: Kay Ewbank

If you need to explain to someone how data can be useful, this book shows how organizations should use data to make decisions. 


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