Padding
Understand the purpose of padding with respect to tokenized sequences.
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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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