Characterizations of how neural networks learn
Training neural network architectures on Internet-scale datasets has led to many recent advances in machine learning. However, the mechanisms underlying how neural networks learn from data are largely opaque. This thesis develops a mechanistic understanding of how neural networks learn in several se...
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| Materialtyp: | Lärdomsprov |
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Massachusetts Institute of Technology
2024
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| Länkar: | https://hdl.handle.net/1721.1/156306 |