Author(s) Name: Jon Krohn, Grant Beyleveld, Aglaé Bassens
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 disciplines 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.
Table of Contents
1. Biological and Machine Vision
2. Human and Machine Language
3. Machine Art
4. Game-Playing Machines
5. The (Code) Cart Ahead of the (Theory) Horse
6. Artificial Neurons Detecting Hot Dogs
7. Artificial Neural Networks
8. Training Deep Networks
9. Improving Deep Networks
10. Machine Vision
11. Natural Language Processing
12. Generative Adversarial Networks
13. Deep Reinforcement Learning
14. Moving Forward with Your Own Deep Learning Projects
ISBN: 9780135116821
Publisher: Addison-Wesley Professional
Year of Publication: 2019
Book Link: Home Page Url
