Fundamentals of Neural Networks - Welcome to RNN

The video tutorial introduces recurrent neural networks (RNNs), explaining their motivation and application in processing language problems. It covers the use of backpropagation through time for optimizing RNN parameters. The tutorial also introduces advanced RNN types, including gated recurrent units (GRU), long short-term memory (LSTM), and bi-directional RNNs.

How do gated recurrent units (GRUs) differ from long short term memory (LSTM) networks?

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What is the significance of bi-directional RNNs in processing language problems?

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