Deep Learning with Python pdf epub mobi txt 電子書下載 2024

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Francois Chollet

Manning Publications

2017-10-31

350

USD 49.99

Paperback

9781617294433

圖書標籤: 深度學習 Python 機器學習人工智能 Keras DeepLearning 計算機編程

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发表于2024-12-23

Deep Learning with Python epub 下載 mobi 下載 pdf 下載 txt 電子書下載 2024

Deep Learning with Python pdf epub mobi txt 電子書下載 2024

圖書描述

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 下載 mobi epub pdf txt 電子書

著者簡介

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.

圖書目錄

Deep Learning with Python pdf epub mobi txt 電子書下載

想要找書就要到小哈圖書下載中心

qciss.net

立刻按 ctrl+D收藏本頁

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用戶評價

評分☆☆☆☆☆

對新手太友好瞭，兩三天看完就可以上手項目瞭

評分☆☆☆☆☆

1-4, 平庸，適閤復習，不適閤初學；5，transfer learning, visualization講的很好，惜無semantic segmentation等高級話題；7，keras技巧，對於組建DAG型網有用，我的感受是這些技巧對閱讀學術論文也有幫助

評分☆☆☆☆☆

非常喜歡的一本書，讀到一半纔發現作者就是keras的開發者。代碼和注釋的排版非常良心，基本上主流方法也介紹到瞭。上學期都是看文檔和github自己瞎摺騰，要是這本書早齣半年估計就會少走一些彎路瞭……

評分☆☆☆☆☆

intro

評分☆☆☆☆☆

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