Reductions of ReLU neural networks to linear neural networks and their applications
Deep neural networks are the main subject of interest in the study of theoretical deep learning, which aims to rigorously explain the incredible performance of these function classes in practice. Although a lot are understood about deep linear network (neural network with all linear activations), no...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/143196 |