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cs.LG2023
On Characterizing the Evolution of Embedding Space of Neural Networks using Algebraic Topology
Suryaka Suresh, Bishshoy Das, Vinayak Abrol +1
We study how the topology of feature embedding space changes as it passes through the layers of a well-trained deep neural network (DNN) through Betti numbers. Motivated by existin…
cs.LG2021
Altering Backward Pass Gradients improves Convergence
Bishshoy Das, Milton Mondal, Brejesh Lall +2
In standard neural network training, the gradients in the backward pass are determined by the forward pass. As a result, the two stages are coupled. This is how most neural network…