Tweet Emotion Recognition with TensorFlow

4.7

129 个评分

提供方

7,766 人已注册

在此免费指导项目中,您将:
2 hours
中级
无需下载
分屏视频
英语(English)
仅限桌面

In this 2-hour long guided project, we are going to create a recurrent neural network and train it on a tweet emotion dataset to learn to recognize emotions in tweets. The dataset has thousands of tweets each classified in one of 6 emotions. This is a multi class classification problem in the natural language processing domain. We will be using TensorFlow as our machine learning framework. You will need prior programming experience in Python. This is a practical, hands on guided project for learners who already have theoretical understanding of Neural Networks, recurrent neural networks, and optimization algorithms like gradient descent but want to understand how to use the Tensorflow to start performing natural language processing tasks like text classification. You should also have some basic familiarity with TensorFlow. Note: 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.

必备条件

您要培养的技能

  • Natural Language Processing

  • Deep Learning

  • Machine Learning

  • Tensorflow

  • keras

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

授课教师

审阅

来自TWEET EMOTION RECOGNITION WITH TENSORFLOW的热门评论

查看所有评论

常见问题