Description: Title: Deep Learning: A Practitioner's Approach Author: Patterson, Josh Publisher: O'Reilly Media Binding: Paperback Pages: 530 Dimensions: 9.10h x 7.00w x 1.00d Product Weight: 1.8 lbs. Language: English ISBN: 9781491914250 Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learningâ especially deep neural networksâ make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but 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. Through real-world examples, youâ ll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J. 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, DL4Jâ s workflow tool Learn how to use DL4J natively on Spark and Hadoop Ships Fast From The USA! Authorized Dealer
Price: 71.99 USD
Location: Tennessee
End Time: 2025-02-09T19:34:54.000Z
Shipping Cost: 9.95 USD
Product Images
Item Specifics
Return shipping will be paid by: Seller
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Deep Learning: A Practitioner's Approach Patterson, Josh
Number of Pages: 536 Pages
Publication Name: Deep Learning : a Practitioner's Approach
Language: English
Publisher: O'reilly Media, Incorporated
Item Height: 1.1 in
Publication Year: 2017
Subject: Data Modeling & Design, Data Processing, Databases / Data Mining
Item Weight: 32.5 Oz
Type: Textbook
Item Length: 9.1 in
Author: Josh Patterson, Adam Gibson
Subject Area: Computers
Item Width: 7.2 in
Format: Trade Paperback
