Deep Learning with Python pdf epub mobi txt 电子书下载 2024

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Francois Chollet

Manning Publications

2017-10-31

350

USD 49.99

Paperback

9781617294433

图书标签: 深度学习 Python 机器学习人工智能 Keras DeepLearning 计算机编程

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发表于2024-10-03

Deep Learning with Python epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024

Deep Learning with Python pdf epub mobi txt 电子书下载 2024

图书描述

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.

Deep Learning with Python 下载 mobi epub pdf txt 电子书

著者简介

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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Deep Learning with Python pdf epub mobi txt 电子书下载

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用户评价

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1-4, 平庸，适合复习，不适合初学；5，transfer learning, visualization讲的很好，惜无semantic segmentation等高级话题；7，keras技巧，对于组建DAG型网有用，我的感受是这些技巧对阅读学术论文也有帮助

评分☆☆☆☆☆

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……

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Keras作者的书，有些很有意思的例子，讲得不深，更像是Keras的代码示例，挺实用的，看完基本可以上手写了，里面套来解决各种常见问题的代码模板几乎都有。

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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。

评分☆☆☆☆☆

深度学习交给你的不仅仅是技术，还有人是如何认识事物的思想，而这也是与哲学更为接近的一部分，也是更为有趣的地方。越来越发现自然科学与哲学之间存在的千丝万缕联系是如此有趣，这也是我喜欢机器学习、模式识别的原因，超越技术之外的思想可以泛化到对世界的认知，而对“认知”过程和机理的了解则开启了最为奇妙的认知旅程——认识自己，则认识世界。在看过《形而上学》之后，看康德会有不一样的体会，而这些书应该也会为我看《GEB》奠定很好的基础吧。