楼主: ccwwccww
1653 3

Natural Language Processing with TensorFlow [推广有奖]

大师

54%

还不是VIP/贵宾

-

威望
0
论坛币
367642 个
通用积分
193160.3725
学术水平
202 点
热心指数
220 点
信用等级
170 点
经验
13109 点
帖子
10991
精华
0
在线时间
5718 小时
注册时间
2008-3-25
最后登录
2024-2-24

相似文件 换一批

+2 论坛币
k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群
赵安豆老师微信:zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

感谢您参与论坛问题回答

经管之家送您两个论坛币!

+2 论坛币
1-2.jpg

2018.5.
Packt


Book Description

Natural language processing (NLP) supplies the majority of data available to deep learning applications, while TensorFlow is the most important deep learning framework currently available. Natural Language Processing with TensorFlow brings TensorFlow and NLP together to give you invaluable tools to work with the immense volume of unstructured data in today’s data streams, and apply these tools to specific NLP tasks.

Thushan Ganegedara starts by giving you a grounding in NLP and TensorFlow basics. You’ll then learn how to use Word2vec, including advanced extensions, to create word embeddings that turn sequences of words into vectors accessible to deep learning algorithms. Chapters on classical deep learning algorithms, like convolutional neural networks (CNN) and recurrent neural networks (RNN), demonstrate important NLP tasks as sentence classification and language generation. You will learn how to apply high-performance RNN models, like long short-term memory (LSTM) cells, to NLP tasks. You will also explore neural machine translation and implement a neural machine translator.

After reading this book, you will gain an understanding of NLP and you’ll have the skills to apply TensorFlow in deep learning NLP applications, and how to perform specific NLP tasks.

What You Will Learn
•Core concepts of NLP and various approaches to natural language processing
•How to solve NLP tasks by applying TensorFlow functions to create neural networks
•Strategies to process large amounts of data into word representations that can be used by deep learning applications
•Techniques for performing sentence classification and language generation using CNNs and RNNs
•About employing state-of-the art advanced RNNs, like long short-term memory, to solve complex text generation tasks
•How to write automatic translation programs and implement an actual neural machine translator from scratch
•The trends and innovations that are paving the future in NLP

Authors

Thushan Ganegedara

Thushan Ganegedara is currently a third year Ph.D. student at the University of Sydney, Australia. He is specializing in machine learning and has a liking for deep learning. He lives dangerously and runs algorithms on untested data. He also works as the chief data scientist for AssessThreat, an Australian start-up. He got his BSc. (Hons) from the University of Moratuwa, Sri Lanka. He frequently writes technical articles and tutorials about machine learning. Additionally, he also strives for a healthy lifestyle by including swimming in his daily schedule.

Packt Natural Language Processing with TensorFlow.2018.5.epub (20.05 MB, 需要: 10 个论坛币)
二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

关键词:Processing Language processI Natural Process

本帖被以下文库推荐

沙发
ktv55 学生认证  发表于 2018-7-14 01:25:24 |只看作者 |坛友微信交流群

谢谢楼主

使用道具

藤椅
eeabcde 发表于 2018-7-15 14:42:02 |只看作者 |坛友微信交流群
谢谢楼主

使用道具

板凳
argmax124 发表于 2018-8-17 15:00:14 |只看作者 |坛友微信交流群
感谢楼主分享

使用道具

您需要登录后才可以回帖 登录 | 我要注册

本版微信群
加JingGuanBbs
拉您进交流群

京ICP备16021002-2号 京B2-20170662号 京公网安备 11010802022788号 论坛法律顾问:王进律师 知识产权保护声明   免责及隐私声明

GMT+8, 2024-4-20 08:07