Deep Learning - Recurrent Neural Networks with TensorFlow - Text Classification with LSTMs

This video tutorial covers text classification using RNNs, focusing on spam detection. It begins with an introduction to text classification and its applications, followed by setting up the environment in a collab notebook. The tutorial then guides through data preparation, including loading and cleaning data, and transforming text into sequences. Finally, it demonstrates building and training an RNN model using Tensorflow, achieving high accuracy in spam detection.

What is the significance of padding sequences in the context of RNNs?

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What is the role of the embedding layer in the model?

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How does the model's accuracy change with the number of epochs during training?

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