Library Hours
Monday to Friday: 9 a.m. to 9 p.m.
Saturday: 9 a.m. to 5 p.m.
Sunday: 1 p.m. to 9 p.m.
Naper Blvd. 1 p.m. to 5 p.m.
     
Limit search to available items
Results Page:  Previous Next
Author Patterson, Josh (Consultant), author.

Title Deep learning : a practitioner's approach / Josh Patterson and Adam Gibson. [O'Reilly electronic resource]

Edition First edition.
Publication Info. Sebastopol, CA : O'Reilly Media, Inc., 2017.
©2017
QR Code
Description 1 online resource (507 pages) : color illustrations
Note Includes index.
Contents A review of machine learning -- Foundations of neural networks and deep learning -- Fundamentals of deep networks -- Major architecture of deep networks -- Building deep networks -- Tuning deep networks -- Tuning specific deep network architectures -- Vectorization -- Using deep learning and DL4J on Spark -- What is artificial intelligence? -- RL4J and reinforcement learning -- Numbers everyone should know -- Neural networks and backpropagation: a mathematical approach -- Using the ND4J API -- Using DataVec -- Working with DL4J from source -- Setting up DL4J projects -- Setting up GPUs for DL4J projects -- Troubleshooting DL4J installations.
Summary How can machine learning--especially deep neural networks--make a real difference in your organization? This hands-on guide not only provides practical information, but helps you get started building efficient deep learning networks. The authors provide the fundamentals of deep learning--tuning, parallelization, vectorization, and building pipelines--that are valid for any library before introducing the open source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J.
Subject Machine learning.
Artificial intelligence.
Neural networks (Computer science)
Artificial Intelligence
Neural Networks, Computer
Machine Learning
Apprentissage automatique.
Intelligence artificielle.
Réseaux neuronaux (Informatique)
artificial intelligence.
Artificial intelligence
Machine learning
Neural networks (Computer science)
Added Author Gibson, Adam, 1989- author.
Other Form: Print version: Patterson, Josh. Deep learning. First edition. ©2017 1491914254 9781491914250 (OCoLC)902657832
ISBN 9781491914236 (electronic bk.)
1491914238 (electronic bk.)
9781491914212 (electronic bk.)
1491914211 (electronic bk.)
Patron reviews: add a review
Click for more information
EBOOK
No one has rated this material

You can...
Also...
- Find similar reads
- Add a review
- Sign-up for Newsletter
- Suggest a purchase
- Can't find what you want?
More Information