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.
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.
这本书从6月11号那天老板递到我手里,到今天刚好六周,在这期间我逐字逐句地啃了这本书,并在每周的周二和周五下午给组里的其他人讲这本书,每次讲3个小时。直到五分钟前刚刚讲完最后一章,写了175页的PPT。 感想从何谈起呢?先说Keras吧,这本书的作者是Keras的作者,所以本书...
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 评分这本书从6月11号那天老板递到我手里,到今天刚好六周,在这期间我逐字逐句地啃了这本书,并在每周的周二和周五下午给组里的其他人讲这本书,每次讲3个小时。直到五分钟前刚刚讲完最后一章,写了175页的PPT。 感想从何谈起呢?先说Keras吧,这本书的作者是Keras的作者,所以本书...
非常喜欢的一本书,读到一半才发现作者就是keras的开发者。代码和注释的排版非常良心,基本上主流方法也介绍到了。上学期都是看文档和github自己瞎折腾,要是这本书早出半年估计就会少走一些弯路了……
评分对新手太友好了,两三天看完就可以上手项目了
评分A fantastic book I read these days, not just because the content quality, but also the vision author would like to take us to, the last sentence is remarkable: 1. Staying up to date in a fast-moving field 2. Practice on real-world problems using Kaggle 3. Read about the latest developments on arXiv 4. Explore the Keras ecosystem
评分对新手太友好了,两三天看完就可以上手项目了
评分应该改名deep learning in keras. 不过最后一段对于deep learning的看法和预想倒是很有前瞻性,值得阅读。
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