Chevron Left
返回到 Tweet Emotion Recognition with TensorFlow

学生对 Coursera Project Network 提供的 Tweet Emotion Recognition with TensorFlow 的评价和反馈

129 个评分


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....



Aug 1, 2021

It is a good project to get an overview. Generally, it is a nice project, and simple to follow,


Jul 6, 2021

One of the best course for knowledge up gradation. The Speakers explain very well.


1 - Tweet Emotion Recognition with TensorFlow 的 13 个评论(共 13 个)

创建者 Jorge G

Feb 25, 2021

创建者 Hanna L

May 5, 2022


Aug 2, 2021

创建者 Tushar G

Jul 7, 2021

创建者 Fernando M

Dec 26, 2020

创建者 kamal k

Dec 7, 2021

创建者 Harshada J

Aug 2, 2021

创建者 Kenneth N

Aug 19, 2022

创建者 Vital P R

Feb 12, 2022

创建者 Biswas A A

Apr 24, 2022

创建者 Khatcha R

May 30, 2022

创建者 Snegapriya S

Apr 15, 2022

创建者 Brent H

Dec 23, 2021