July 2020
Intermediate to advanced
360 pages
7h 8m
English

40.1Constraints
⊳The input is a sequence of items, and the output depends on certain patterns in that sequence.
⊳The length of the output sequence is exactly the same as the length of the input sequence.
⊳The input is reshaped as a sequence of frames of size N, each one capturing a portion of the input sequence, large enough to be able to capture the pattern.
⊳The frames are created by sliding through the input sequence, with a step of 1.
⊳The neural function is defined as a single unit that is instantiated N times and applied to all items in a frame, at the same time. Those instances are connected in a chain where ...
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