Python Deep Learning PDF introduction:
Written by Francois Chollet, Keras’s father and now an AI researcher at Google, this book details the exploration of deep learning using Python and Keras, including computer vision, natural language processing, and generative modeling. The book contains more than 30 code examples and detailed step-by-step explanations. Because this book focuses on the accessibility and popularity of ARTIFICIAL intelligence, no background in machine learning is required to read it. After learning this book, readers will have the ability to build their own deep learning environment, build image recognition models, and generate images and words.
Directory:
Part 1 Fundamentals of Deep Learning Chapter 1 What is Deep Learning 2 1.1 Artificial Intelligence, Machine Learning and Deep Learning 2 Chapter 2 Mathematical Foundations of Neural Networks 20 Chapter 3 Introduction to Neural Networks 43 Chapter 4 Fundamentals of Machine Learning 74 Part 2 Deep Learning Practices Chapter 5 Deep learning for Computer Vision 94 Chapter 6 Deep Learning for text and sequences 147 Chapter 7 Advanced Deep learning Best Practices 196 Chapter 8 Generative Deep Learning 226 Chapter 9 Summary 265 Appendix A Installing Keras on Ubuntu and its dependencies 283 Appendix B Running Jupyter Notebook 287 on an EC2 GPU instance
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