Tweet Emotion Recognition with TensorFlow
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.
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- Level Intermediate
- Duration 3 hours
- Course by Coursera Project Network
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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.Modules
Tweet Emotion Recognition with TensorFlow
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- Graded Quiz: Test your Project Understanding
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- Tweet Emotion Recognition with TensorFlow
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- Project-based Course Overview
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"Tweet Emotion Recognition with TensorFlow" is an engaging 2-hour guided project by Coursera, designed for intermediate learners in IT and Computer Science. Led by an expert instructor, the course focuses on building and training a recurrent neural network using TensorFlow to classify emotions in tweets. Ideal for those with Python programming experience and a foundational understanding of neural networks and TensorFlow, this hands-on project offers practical NLP skills. Access the course for free, especially beneficial for learners in North America.
Amit Yadav