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Deep Learning: A Practitioner’s Approach By Josh Patterson & Adam Gibson PDF

Download Book : Deep Learning: A Practitioner’s Approach By Josh Patterson & Adam Gibson PDF


Informations about the book: 

TitleDeep Learning: A Practitioner’s Approach

Author
 Josh Patterson & Adam Gibson

Size: 20MB


Format: PDF


Year: 2017


Pages:536


Language: English


Book Contents:
1. A Review of Machine Learning
2. Foundations of Neural Networks and Deep Learning
3. Fundamentals of Deep Networks
4. Major Architectures of Deep Networks 
5. Building Deep Networks
6. Tuning Deep Networks 
7. Tuning Specific Deep Network Architectures
8. Vectorization
9. Using Deep Learning and DL4J on Spark
A. What Is Artificial Intelligence?
B. RL4J and Reinforcement Learning
C. Numbers Everyone Should Know
D. Neural Networks and Backpropagation: A Mathematical Approach
E. Using the ND4J API
F. Using DataVec
G. Working with DL4J from Source
H. Setting Up DL4J Projects
I. Setting Up GPUs for DL4J Projects
J. Troubleshooting DL4J Installations
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