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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PowerShell for SQL Server Essentials

Author: Donabel Santos
Publisher: Packt Publishing
Pages: 183
ISBN: 978-1784391492
Print: 1784391492
Kindle: B00U1D9WTQ
Audience: Administrators and developers
Rating: 4.0
Reviewer: Ian Stirk

This book aims to introduce you to PowerShell and how it can be used with SQL Server. How well does  [ ... ]



D3.js By Example

Author: Michael Heydt
Publisher: Packt Publishing
Pages: 304
ISBN: 978-1785280085
Print:1785280082
Kindle: B014T58NE6
Audience: Newcomers to D3 data visualization
Rating: 4.5
Reviewer: Ian Stirk 

This book aims to introduce the popular D3 data visualization framework by means of exa [ ... ]


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