Deep Learning - Recurrent Neural Networks with TensorFlow - Recurrent Neural Networks (Elman Unit Part 1)

The video introduces recurrent neural networks (RNNs), focusing on the Elman unit. It explains the importance of context in word classification tasks and how RNNs address this by using hidden representations from previous time steps. The lecture covers the mathematical foundation of RNNs, including weights and biases, and discusses ways to simplify recurrence equations. The content is designed to build intuition for RNNs, especially for those unfamiliar with engineering diagrams.

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