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Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
Paperback
Series: Addison-Wesley Data & Analytics
DatabasesGeneral ComputersProgramming
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ISBN13: 9780135116692
Publisher: Addison-Wesley Professional
Published: Sep 18 2019
Pages: 416
Weight: 1.65
Height: 0.80 Width: 6.90 Depth: 9.00
Language: English
The authors' clear visual style provides a comprehensive look at what's currently possible with artificial neural networks as well as a glimpse of the magic that's to come.
--Tim Urban, author of Wait But Why
Fully Practical, Insightful Guide to Modern Deep Learning
World-class instructor and practitioner Jon Krohn--with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens--presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered.
You'll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms.
- Discover what makes deep learning systems unique, and the implications for practitioners
- Explore new tools that make deep learning models easier to build, use, and improve
- Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more
- Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects
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