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作者:帕拉什·戈雅尔 苏米特·潘迪（Sumit Pand 陶阳 张冬松 徐潇 译
出版社:机械工业出版社
ISBN:9787111617198
装订方式:平装
版次:第1版
开本:16开
出版时间:2019-03-01
用纸:胶版纸
页数:212
全书分为5章，通过介绍完整的神经网络模型（包括循环神经网络、长短期记忆网络以及序列到序列模型）实例，向读者阐释用于自然语言处理（NLP）的深度学习概念。前三章介绍NLP和深度学习的基础知识、词向量表示和高级算法，后两章集中介绍实现过程，并使用Python工具TensorFlow和Keras来处理复杂的架构，比如RNN、LSTM和seq2seq。本书遵循循序渐进的方法，*后集合全部知识构建一个问答式聊天机器人系统。
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Deep learning for natural language processing: Creating neural networks in Python(Chinese Edition)
ISBN 10: 7111617193
ISBN 13: 9787111617198
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paperback
Seller: liu xing, Nanjing, JS, China
Seller rating 5 out of 5 stars
paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2019-03-01 Pages: 212 Publisher: Mechanical Industry Press This book transitions from theory to practice in a step-by-step manner. starting with the basics. then the basic math. and finally the implementation of the relevant examples. The first three chapters introduce the basics of NLP. starting with the usual Python libraries. then the word vector representation. and then the advanced calculation. Seller Inventory # NM031539
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