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作者:奥雷利安·杰龙 王静源 贾玮 边蕤 邱俊涛译
出版社:机械工业出版社
ISBN:9787111603023
装订方式:平装
版次:第1版
开本:16开
出版时间:2018-08-01
用纸:胶版纸
页数:459
本书主要分为两个部分。*部分为第1章到第8章，涵盖机器学习的基础理论知识和基本算法——从线性回归到随机森林等，帮助读者掌握Scikit-Learn的常用方法；第二部分为第9章到第16章，探讨深度学习和常用框架TensorFlow，一步一个脚印地带领读者使用TensorFlow搭建和训练深度神经网络，以及卷积神经网络。
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Machine learning in action: based on Scikit-Learn and TensorFlow(Chinese Edition)
ISBN 10: 7111603028
ISBN 13: 9787111603023
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Seller: liu xing, Nanjing, JS, China
Seller rating 5 out of 5 stars
paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2018-08-01 Pages: 459 Publisher: Mechanical Industry Press This book is a good introduction to the theory and practice of using neural networks to solve problems. It covers the key points of building an effective application and the background knowledge to cope with the emergence of new research. I recommend this book to those interested in learning to use machine learning to solve practical problems. Seller Inventory # NK020677
Quantity: 5 available