Deep Learning - Recurrent Neural Networks with TensorFlow - Code Preparation (NLP)

The video tutorial explains the process of converting text into numerical data for use in RNNs. It covers the conversion of words into integer sequences, the importance of padding, and the use of TensorFlow tools for tokenization and padding. The tutorial also outlines the structure of a neural network, including embedding layers and RNNs, and discusses the significance of sequence length and padding placement.

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