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

The video tutorial covers importing necessary packages like Numpy and Torch, defining input and output strings, setting the number of features and vocabulary size, computing random embeddings, and creating a function for one-hot encoding. The tutorial is a step-by-step guide to setting up a basic model structure, focusing on the initial stages of data preparation and encoding.

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