January 2018
Beginner to intermediate
284 pages
8h 35m
English
Content preview from Deep Learning Essentials
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Fusion
Fusion refers to the process of joining information from two or more modalities to perform a prediction. Example applications include audio-visual speech recognition, multimodal emotion recognition, multimedia event detection, and image-LIDAR joint learning for self-driving. Some known challenges are:
- Different similarity metrics
- Temporal contingency
- Varying predictive power
- Different noise topology
- Ambiguous correspondence
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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.