000			01183nam a22001457a 4500
008			220309b |||||||| |||| 00| 0 eng d
020			_a978-0-61729-443-3
082			_223 _a005.133 _bCHO
100			_aChollet Francois
245			_aDeep Learning with Python _cDeep Learning with Python _hEnglish
260			_aUSA _bManning Publications _c2018
300			_avii-361 p. _bsoft bound _c19*24 cm
505			_aBrief Table of Contents Table of Contents Preface Acknowledgments About this Book About the Author About the Cover 1. Fundamentals of deep learning Chapter 1. What is deep learning? Chapter 2. Before we begin: the mathematical building blocks of neural networks Chapter 3. Getting started with neural networks Chapter 4. Fundamentals of machine learning 2. Deep learning in practice Chapter 5. Deep learning for computer vision Chapter 6. Deep learning for text and sequences Chapter 7. Advanced deep-learning best practices Chapter 8. Generative deep learning Chapter 9. Conclusions Appendix A. Installing Keras and its dependencies on Ubuntu Appendix B. Running Jupyter notebooks on an EC2 GPU instance
942			_2ddc _cBK
999			_c7193 _d7193