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 AI research, with a focus on abstraction and 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.
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You’ll learn directly from the creator of Keras, François Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. 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.
what's inside
Deep learning from first principles
Image-classification, imagine segmentation, and object detection
Deep learning for natural language processing
Timeseries forecasting
Neural style transfer, text generation, and image generation
目前最通俗易懂的深度学习入门书,由Keras之父执笔。大神不但技术了得,文笔也不一般,真的就是为了让尽可能多的人能够使用深度学习而写的这本书,涵盖了深度学习的基础知识、Keras使用模式以及深度学习最佳实践。 学习本书需要具备基础的Python知识,但不需要深度学习或者机器...
评分 评分 评分 评分本书自出版以来收到众多好评,因为是 Keras 作者写的书,所以全书基本围绕着 Keras 讲深度学习的各种实现,从 CNN,RNN到GAN等等,总体偏入门,但也承载着很多作者对深度学习整体性的思考。值得一提的是作者推荐用GPU 跑书中的例子,这不是开玩笑, 用CPU 跑你会感到很绝望的~...
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