Deep Learning with Python, Second Editionepub,mobi,azw3格式电子书下载，作者：François Chollet-读书派

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

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 ...

monarch

06-01

一年前看过第一版，但忘的差不多了，这次就第一版和第二版一起看的，差别还是挺大的，前面那个说“quite similar to the 1st edition”的人压根就没仔细看。我所有代码都跑了，同时和第一版的做了对比，差别在：很多数据预处理用了最新的集成在keras里的函数，而第一版基本是用base python做的，其他的部分如果keras有更新，书里也跟进了；介绍了第一版以来到2020年书出版的时候DL的新进展，比如介绍了attention；对于用RNN来做时序分析单独写了一章；第7章关于深入实用keras的介绍比第一版深入多了，不过这部分内容更推荐那本《机器学习实战》 hands-on那本，虽然本书是keras之父写的，那不如人家介绍的好。最后，能看第二版的尽量第二版

yinchaoonline

04-15

2nd edition claims to be fairly different from 1st edition, with 1/3 longer and 75% novel content. However, after reading the whole book (7-8h), the main contents of the 2nd edition is quite similar to the 1st edition, only with more noticeable new contents in ch01-02, ch09, and ch14. Overall, it is a fantastic book to deepen understanding of DL.

风乍起

10-17

写的通俗易懂，入门最佳读物。

Deep Learning with Python, Second Edition

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