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Learner Reviews & Feedback for Tweet Emotion Recognition with TensorFlow by Coursera Project Network

129 ratings

About the Course

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....

Top reviews


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.

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Feb 25, 2021

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