Data Science and Machine Learning (Theory and Projects) A to Z - Sentiment Classification using RNN: RNN Setup 2

The video tutorial covers the implementation of a recurrent neural network (RNN) for sentiment classification. It begins with setting up the RNN, focusing on using sigmoid instead of softmax for binary output. The tutorial then explains how to compute the cross-entropy loss for binary outputs and modify the training function to use batch gradient descent. It addresses common errors and debugging techniques, followed by testing the RNN model on Yelp reviews. The tutorial concludes with insights into the RNN's performance and potential improvements.

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