Data Science and Machine Learning (Theory and Projects) A to Z - Project I_ Book Writer: Modelling RNN Model in TensorFl

The video tutorial covers the process of converting sequences into input-target pairs using a map function. It explains how to prepare and shuffle the dataset, define batch size, and set buffer size. The tutorial also discusses setting embedding dimensions and defining model specifics for a recurrent neural network using LSTM or GRU. It then guides through defining and compiling the model using TensorFlow, setting a loss function, and choosing an optimizer like Adam. The video concludes with a brief on the next steps, including setting checkpoints and training the model.

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