Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Activity

The video tutorial introduces backpropagation through time in recurrent neural networks (RNNs) and provides an activity to implement it using Numpy. The task involves coding backpropagation through time on a simple example without using auto gradient tools from deep learning frameworks. The tutorial references a previous course on convolutional networks for guidance and encourages students to complete the activity, emphasizing that taking time is normal.

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