HandsOn Machine Learning with ScikitLearn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent SystemsThrough a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two productionready Python frameworks—ScikitLearn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.

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Contents
Part II Neural Networks and Deep Learning  277 
Appendix A Exercise Solutions  719 
Appendix B Machine Learning Project Checklist  755 
Appendix C SVM Dual Problem  761 
Appendix D Autodiff  765 
Appendix E Other Popular ANN Architectures  773 
Other editions  View all
HandsOn Machine Learning with ScikitLearn and TensorFlow: Techniques and ... Aurélien Géron No preview available  2017 
Handson Machine Learning with ScikitLearn, Keras, and TensorFlow: Concepts ... Aurélien Géron No preview available  2019 