Addison-Wesley Professional, 2019. — 871 p. — (Addison-Wesley Data & Analytics Series).
Deep learning is one of today's hottest fields. 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.
I: Introducing Deep Learning.
Biological and Machine Vision.
Biological Vision.
Machine Vision.
TensorFlow Playground.
Quick, Draw!
Human and Machine Language.
Machine Art.
Game-Playing Machines.
II: Essential Theory Illustrated.
The (Code) Cart Ahead of the (Theory) Horse.
Artificial Neurons Detecting Hot Dogs.
Artificial Neural Networks.
Training Deep Networks.
Improving Deep Networks.
III: Interactive Applications of Deep Learning.
Machine Vision.
Natural Language Processing.
Generative Adversarial Networks.
Deep Reinforcement Learning.
IV: You and A.I.
Moving Forward with Your Own Deep Learning Projects.
Ideas for Deep Learning Projects.
Resources for Further Projects.
The Modeling Process, including Hyperparameter Tuning.
Deep Learning Libraries.
Software.
Approaching Artificial General Intelligence.
V: Appendices.
Appendix A. Formal Neural Network Notation.
Appendix B. Backpropagatior.
Appendix C. PyTorch.