Fundamentals of Neural Networks - Bi-Directional RNN

The video tutorial covers the basics of recurrent neural networks (RNN), including advanced versions like gated recurrent units (GRU) and long short-term memory (LSTM). It introduces bidirectional RNNs, explaining their design and functionality through examples and diagrams. The tutorial highlights the importance of bidirectional RNNs in processing language problems where context is crucial. It concludes with a brief introduction to coding bidirectional RNNs and a lab session for practical application.

How does the information flow in a traditional RNN compared to a bidirectional RNN?

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What is the significance of the activation function in the context of RNN?

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Discuss how software packages can simplify the implementation of RNNs.

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