AI Features

Padding

Understand the purpose of padding with respect to tokenized sequences.

Chapter Goals:

  • Learn about sequence lengths and padding

A. Varied length sequence

When dealing with most neural networks, the input data always has a fixed length. This is because most neural networks have what's known as a feed-forward structure, meaning that they utilize multiple layers of fixed sizes to compute the network's output.

However, since text data involves different sized text ...

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