Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Language Modelling Next Word Predic

The video tutorial explains the process of defining and implementing a forward step in a recurrent neural network (RNN). It covers the necessary parameters, matrix multiplication, and conversion from Numpy to Torch. The tutorial also demonstrates how to compute activations using TanH and apply softmax to obtain outputs. Testing the forward step function with sample inputs is shown, followed by applying the forward step across multiple time steps in an RNN.

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