Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
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Book Description
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Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline's techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn.
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.
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Table of Contents
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Part I. Introducing Deep Learning
Chapter 1 Biological and Machine Vision
Chapter 2 Human and Machine Language
Chapter 3 Machine Art
Chapter 4 GamePlaying Machines
Part II. Essential Theory Illustrated
Chapter 5 The (Code) Cart Ahead of the (Theory) Horse
Chapter 6 Artificial Neurons Detecting Hot Dogs
Chapter 7 Artificial Neural Networks
Chapter 8 Training Deep Networks
Chapter 9 Improving Deep Networks