Deep Learning - Recurrent Neural Networks with TensorFlow - Text Preprocessing

The video tutorial covers text preprocessing using a notebook. It starts with importing necessary classes and functions, creating a dummy dataset, and setting a maximum vocabulary size. The process of tokenizing sentences into sequences of integers is explained, along with the concept of padding sequences to ensure uniform length. Different padding and truncating techniques are demonstrated, highlighting their effects on sequence data.

How does the tokenizer handle words that are not in the vocabulary?

What happens when the Max length is set to a value less than the maximum sequence length?

Describe the process of truncating sequences in the context of RNNs.