Fundamentals of Neural Networks - Lab 1 - RNN in Text Classification

This video tutorial covers the design and implementation of recurrent neural networks (RNNs) for text classification using the IMDb dataset. It explains data processing techniques, including converting text to tokens and handling special characters. The tutorial guides viewers through building and training an RNN model using TensorFlow, highlighting the use of bidirectional RNNs and LSTM layers. It also explores advanced RNN architectures and discusses the impact of model depth on performance.

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