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
对于新手小白我来说是很好的入门介绍,从模型到应用都能略窥一二,顺带这个风格迁移真的很好玩儿,把我身处的城市画成梵高的世界,希望以后能从模仿到创新实现突破吧。 在看这本书期间我正好在做学校的大作业,有很多实用的评价模型,调参的部分都用在了大作业中,学以致用,越...
评分第一次写书评,因为第一次看技术书感觉大有收获(也许是我看的不多)。 我之前学过c++,用python做过大作业,所以一开始用这本书感觉刚好,如果没有python基础,那可能不太适合。 这本书一个最大的优点就是可以实际上手,加深自己的理解,在上手的过程中,也越发理解到深度学习...
评分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...
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