文件名称:
Natural Language Processing in Action
开发工具:
文件大小: 9mb
下载次数: 0
上传时间: 2019-04-25
详细说明： Summary Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before. About the Book Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, youll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions. Whats inside Some sentences in this book were written by NLP! Can you guess which ones? Working with Keras, TensorFlow, gensim, and scikit-learn Rule-based and data-based NLP Scalable pipelines About the Reader This book requires a basic understanding of deep learning and intermediate Python skills. About the Author Hobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production. Table of Contents PART 1 - WORDY MACHINES Chapter 1. Packets Of Thought (Nlp Overview) Chapter 2. Build Your Vocabulary (Word Tokenization) Chapter 3. Math With Words (Tf-Idf Vectors) Chapter 4. Finding Meaning In Word Counts (Semantic Analysis) PART 2 - DEEPER LEARNING (NEURAL NETWORKS) Chapter 1. Baby Steps With Neural Networks (Perceptrons And Backpropagation) Chapter 2. Reasoning With Word Vectors (Word2Vec) Chapter 3. Getting Words In Order With Convolutional Neural Networks (Cnns) Chapter 4. Loopy (Recurrent) Neural Networks (Rnns) Chapter 5. Improving Retention With Long Short-Term Memory Networks Chapter 6. Sequence-To-Sequence Models And Attention PART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES) Chapter 1. Information Extraction (Named Entity Extraction And Question Answering) Chapter 2. Getting Chatty (Dialog Engines) Chapter 3. Scaling Up (Optimization, Parallelization, And Batch Processing)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
相关说明
- 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
- 本站是交换下载平台，提供交流渠道，下载内容来自于网络，除下载问题外，其它问题请自行百度。
- 本站已设置防盗链，请勿用迅雷、QQ旋风等多线程下载软件下载资源，下载后用WinRAR最新版进行解压.
- 如果您发现内容无法下载，请稍后再次尝试；或者到消费记录里找到下载记录反馈给我们.
- 下载后发现下载的内容跟说明不相乎，请到消费记录里找到下载记录反馈给我们，经确认后退回积分.
- 如下载前有疑问，可以通过点击"提供者"的名字，查看对方的联系方式，联系对方咨询.
相关搜索:
