Deep Learning - Convolutional 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 word-index mapping. The tutorial then demonstrates how to use the pad sequences function with default and custom settings, and explores truncation options for sequences, highlighting the impact on sequence length and padding.

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

How does the padding mechanism affect the input sequences for an RNN?

Describe the process of truncating sequences in text preprocessing.