Deep Learning with Python
内容简介
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
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作者简介
François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.
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目录
PART 1 - FUNDAMENTALS OF DEEP LEARNING
1.What is deep learning?
2.Before we begin: the mathematical building blocks of neural networks
3.Getting started with neural networks
4.Fundamentals of machine learning
PART 2 - DEEP LEARNING IN PRACTICE
5.Deep learning for computer vision
6.Deep learning for text and sequences
7.Advanced deep-learning best practices
8.Generative deep learning
9.Conclusions
appendix A - Installing Keras and its dependencies on Ubuntu
appendix B - Running Jupyter notebooks on an EC2 GPU instance
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读书文摘
这就是智能的本质。它能够有效利用你所掌握的信息，从而在面对不断变化且不确定的未来时能够做出成功的行为。笛卡儿所说的“理解”就是这种非凡能力的关键：能够挖掘过去的经验，形成模块化、可重复使用的抽象概念。这些抽象概念可以被快速重新使用，以处理新的情况并实现极端泛化。
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