October 2018
Beginner
362 pages
9h 32m
English
Content preview from Hands-On Artificial Intelligence for Beginners
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Many-to-many
If we wanted to classify the expression of a person during a video, or perhaps label a scene at any given time, or even for speech-to-text recognition, we would use a many-to-many architecture. Many-to-many architectures take in a variable's length sequence while also outputting a variable length sequence:
An output vector is computed at every step of the process, and we can compute individual losses at every step in the sequence. Frequently, we utilize a softmax loss for explicit labeling tasks. The final loss will be the sum of these individual losses.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.