Implementation of Recurrent Neural Network in TensorFlow | Natural Language Processing
In this tutorial, learn how to implement a simple Recurrent Neural Network (RNN) in TensorFlow, with a focus on Natural Language Processing (NLP). This video guides you step-by-step through building and training an RNN model to process sequential text data, making it ideal for tasks like text classification, language modeling, and sentiment analysis. Designed for both beginners and intermediate learners. You'll also learn to preprocess text data, and implement your RNN in TensorFlow, with practical examples to reinforce your understanding. Whether you're a machine learning enthusiast, data scientist, or developer, this tutorial offers a straightforward and hands-on approach to mastering RNNs for NLP tasks. By the end, you'll be able to apply RNNs to real-world projects in deep learning and NLP.
Here is the link of the code used in this tutorial:
https://github.com/rashida048/TensorF...
