Deep Learning: A Practitioner’s Approach

Book Description

Looking for one central source where you can learn key findings on machine learning? Deep Learning: A Practitioner's Approach provides developers and data scientists with the most practical available on the subject, including deep learning theory, best practices, and use cases.
Authors Adam Gibson and Josh Patterson present the latest relevant papers and techniques in a nonĀ­academic manner, and implement the core in their DL4J library. If you work in the embedded, , and /Hadoop spaces and really want to understand deep learning, this is your book.

Table of Contents

Chapter 1 A Review of Machine Learning
Chapter 2 Foundations of Neural
Chapter 3 of Deep Networks
Chapter 4 Major Architectures of Deep Networks
Chapter 5 Building Deep Networks
Chapter 6 Tuning Deep Networks
Chapter 7 Tuning Specific Deep Network Architectures
Chapter 8 Vectorization
Chapter 9 Using Deep Learning and DL4J on Spark

Book Details

  • Title: Deep Learning: A Practitioner’s Approach
  • Author: ,
  • Length: 536 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2017-08-21
  • ISBN-10: 1491914254
  • ISBN-13: 9781491914250
File HostFree Download LinkFormatSize (MB)Upload Date
ZippyShare Click to downloadAZW3, EPUB22.608/11/2017
How to Download? Report Dead Links & Get a Copy

Leave a Reply