A recurrent neural network (RNN) is a class of artificial neural networks where connections between nodes can create a cycle, allowing output from some nodes to affect subsequent input to the same nodes. This allows it to exhibit temporal dynamic behavior.

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⌚Time Stamps⌚

00:00 Intro
00:44 Why RNNs?
04:20 Data for RNN
09:54 How RNN works?
22:50 Code Example
25:12 RNN Forward Propagation
36:59 Simplified Representation