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

The video tutorial discusses the use of embeddings in recurrent neural networks (RNNs), explaining that random numbers can be used for clarity. It describes the architecture of RNNs, including the recurrent block, nonlinearity, and weight matrices. The tutorial also covers the softmax function and cross-entropy loss, explaining how probabilities are generated and loss is calculated. Finally, it outlines the coding setup for implementing RNNs, highlighting the use of automatic differentiation to simplify gradient computations.

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