Auxiliary network design for local learning in deep neural networks
The training of deep neural networks utilizes the backpropagation algorithm which consists of the forward pass, backward pass and parameters update. The output of a certain layer is produced based on the output of its lower layers in a sequential manner, and the gradients can only flow back layer by...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/149869 |