Basic Sentiment Analysis with TensorFlow

4.5
186 個評分
提供方
Coursera Project Network
6,475 人已註冊
在此指導項目中,您將:

Create, train, and evaluate a neural network in TensorFlow

Solve sentiment analysis and text classification problems with neural networks

Clock2 hours
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

Welcome to this project-based course on Basic Sentiment Analysis with TensorFlow. In this project, you will learn the basics of using Keras with TensorFlow as its backend and you will learn to use it to solve a basic sentiment analysis problem. By the end of this 2-hour long project, you will have created, trained, and evaluated a Neural Network model that, after the training, will be able to predict movie reviews as either positive or negative reviews - classifying the sentiment of the review text. Notes: - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培養的技能

Deep LearningArtificial Neural NetworkMachine LearningDocument ClassificationTensorflow

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Pre-process the examples and labels

  2. Understand word embedding

  3. Create a neural network model

  4. Train the model to fit the data set

  5. Evaluate the model

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

審閱

來自BASIC SENTIMENT ANALYSIS WITH TENSORFLOW的熱門評論

查看所有評論

常見問題

常見問題

還有其他問題嗎?請訪問 學生幫助中心