aceDeep learning
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters th…
Deep learning models composed of multiple processing layers improved state-of-the-art performance in speech recognition, visual object recognition, object detection, drug discovery and genomics by 2015
Evidence
- Peer-reviewedGenomics, Proteomics & Bioinformatics2018-02-01
- Peer-reviewedFrontiers in Artificial Intelligence2020-02-28
- Peer-reviewedBriefings in Bioinformatics2017-04-05
- Peer-reviewedWater Resources Research2018-08-30
- Peer-reviewedNature2015-05-01
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Truvace Impact Record TRV-2026-0209, v5: “Deep learning.” Truvace, 2026-09-04. /record/TRV-2026-0209 (accessed at citation time). sha256 5af7577ef60ee0a1…
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