Deep learning for natural language processing

This workshop introduces natural language as data for deep learning. We discuss various techniques and software packages (e.g. python strings, RegEx, Word2Vec) that help us convert, clean, and formalise text data “in the wild” for use in a deep learning model. We then explore the training and testing of a Recurrent Neural Network on the data to complete a real world task. We’ll be using TensorFlow v2 for this purpose.

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