《TensorFlow自然語言處理（影印版）》是2019年東南大學出版社出版的圖書，作者是[澳] 蘇尚·甘吉達拉。
基本介紹
- 中文名：TensorFlow自然語言處理（影印版）
- 作者：[澳] 蘇尚·甘吉達拉
- 出版社：東南大學出版社
- 出版時間：2019年3月1日
- ISBN：9787564182892
內容簡介,目錄,
內容簡介
自然語言處理（NLP）為深度學習應用程式提供了大部分可用的數據，而TensorFlow是目前可用的重要的深度學習框架。《TensorFlow自然語言處理》將TensorFlow和NLP結合在一起，為你提供處理今天的數據流中大量非結構化數據的寶貴工具，並將這些工具套用到特定的NLP任務。
Thusshan Ganegedara首先為你講解NLP和TensorFlow基礎。然後你將學習如何使用Word2vec（包括高級擴展）來創建將詞序列轉換為可以被深度學習算法訪問的向量的詞嵌入。卷積神經網路（13NN）和遞歸神經網路（RNN）等經典深度學習算法的相關章節展示了句子分類和語言生成等重要的NLP任務。你將學習如何將長短期記憶（LsTM）等高性能RNN模型套用於NLP任務。你還將探索神經機器翻譯並實現一個神經機器翻譯程式。
目錄
Preface
Chapter 1： Introduction to Natural Language Processing
What is Natural Language Processing?
Tasks of Natural Language Processing
The traditional approach to Natural Language Processing
Understanding the traditional approach
Example - generating football game summaries
Drawbacks of the traditional approach
The deep learning approach to Natural Language Processing
History of deep learning
The current state of deep learning and NLP
Understanding a simple deep model - a Fully-Connected
Neural Network
The roadmap - beyond this chapter
Introduction to the technical tools
Description of the tools
Installing Python and scikit-learn
Installing Jupyter Notebook
Installing TensorFlow
Summary
Chapter 2： Understanding TensorFlow
What is TensorFlow?
Getting started with TensorFlow
TensorFlow client in detail
TensorFlow architecture - what happens when you execute the client?
Cafe Le TensorFlow - understanding TensorFlow with an analogy
Inputs， variables， outputs， and operations
Defining inputs in TensorFlow
Feeding data with Python code
Preloading and storing data as tensors
Building an input pipeline
Defining variables in TensorFlow
Defining TensorFlow outputs
Defining TensorFlow operations
Comparison operations
Mathematical operations
Scatter and gather operations
Neural network-related operations
Reusing variables with scoping
Implementing our first neural network
Preparing the data
Defining the TensorFlow graph
Running the neural network
Summary
Chapter 3： Word2vec - Learning Word Embeddings
What is a word representation or meaning?
Classical approaches to learning word representation
WordNet - using an external lexical knowledge base for
learning word representations
Tour of WordNet
