Deep Learning with Python
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ISBN13: 9781617294433
Publisher: Manning Publications
Published: Dec 22 2017
Pages: 384
Weight: 1.50
Height: 0.81 Width: 7.38 Depth: 9.25
Language: English
- Deep learning from first principles
- Setting up your own deep-learning environment
- Image-classification models
- Deep learning for text and sequences
- Neural style transfer, text generation, and image generation
- What is deep learning?
- Before we begin: the mathematical building blocks of neural networks
- Getting started with neural networks
- Fundamentals of machine learning
- Deep learning for computer vision
- Deep learning for text and sequences
- Advanced deep-learning best practices
- Generative deep learning
- Conclusions
- appendix A - Installing Keras and its dependencies on Ubuntu
- appendix B - Running Jupyter notebooks on an EC2 GPU instance
PART 2 - DEEP LEARNING IN PRACTICE
From the Publisher For over thirty years, Manning Publications has been delivering impeccable quality in tech publishing. Our rich and independent history is filled with innovations, including groundbreaking early access programs, DRM-free ebooks, and live learning projects. We spend thousands of hours making each Manning book outstanding--and our readers agree! We're regularly told that Manning produces the very best tech content you can buy. Manning authors are technology experts, including distinguished academics, industry veterans, and the creators of major tools. Timeless Manning classics include Francois Chollet's Deep Learning with Python, Jon Skeet's C# in Depth, Don Jones' Learn Windows Powershell in a Month of Lunches, and Chris Richarson's Microservices Patterns. We're proud to help some of the world's greatest programmers share their unique insight with you.
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