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2024-11-21

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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语言平实，举例精妙，第 9 章的展望是真知灼见。但同时挑几个毛病：1) convolution 讲得不算太清楚；2) LSTM 和 GRU 则是直接放弃了详细叙述…… 3) Depthwise Separable Convolution 讲得不算太清楚，请配合阅读 https://eli.thegreenplace.net/2018/depthwise-separable-convolutions-for-machine-learning；4) Deep Dream 没看懂，不如看这个 https://www.youtube.com/watch?v=BsSmBPmPeYQ

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良心之作，适合入门

评分☆☆☆☆☆

之前读过本书作者的 blog 文章 User experience design for APIs，明白他能把很复杂的问题简明扼要地讲清楚，这本书也不例外，把很多道理讲透了。适合初学者入门，也适合入门者回顾基础知识。

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Constituent of the missing parts from papers.

评分☆☆☆☆☆

菜鸟在此谢过，您的确很浅出，我去找深入的书了