Deep Learning Illustrated A Visual, Interactive Guide to Artificial Intelligence

1.Introduction Deep Learning
2. Human and Machine Language
3. Machine Art
4. Game-Playing Machine
5. The (code) cart Ahead of the (theory)Horse
6. Artificial Neural Network
7.Deep Network
8. Natural Application Of Deep Learning
9.Machine Vision
10.Deep Reinforcement Learning
11. Generative Adversarial Network
12. Moving forward With Your Deep Learning Project

Deep learning is one of today’s hottest fields. This approach to machine learning is achieving breakthrough results in some of today’s highest profile applications, in organizations ranging from Google to Tesla, Facebook to Apple. Thousands of technical professionals and students want to start leveraging its power, but previous books on deep learning have often been non-intuitive, inaccessible, and dry. In Deep Learning Illustrated, three world-class instructors and practitioners present a uniquely visual, intuitive, and accessible high-level introduction to the techniques and applications of deep learning. Packed with vibrant, full-color illustrations, it abstracts away much of the complexity of building deep learning models, making the field more fun to learn and accessible to a far wider audience.•Ideal for software developers, data scientists, and analysts at all levels of experience •Teaches through simple visuals, accessible Python code examples, character-driven narratives, and intuitive analogies •Covers today’s leading applications, including machine vision, natural language processing, image generation, and videogames •Introduces four powerful Deep Learning libraries: TensorFlow, Keras, PyTorch, and Coach •Carefully designed to minimize mathematical formulae and avoid unnecessary complexity.