8 citations · 17 across the 6 of their papers we have counts for
3 papers · 1 filter
Automated Sizing and Training of Efficient Deep Autoencoders using Second Order Algorithms
Kanishka Tyagi, Chinmay Rane, Michael Manry
We propose a multi-step training method for designing generalized linear classifiers. First, an initial multi-class linear classifier is found through regression. Then validation e…
Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions
Chinmay Rane, Kanishka Tyagi, Michael Manry
Deep learning training training algorithms are a huge success in recent years in many fields including speech, text,image video etc. Deeper and deeper layers are proposed with huge…
Optimal Input Gain: All You Need to Supercharge a Feed-Forward Neural Network
Chinmay Rane, Kanishka Tyagi, Sanjeev Malalur +2
Linear transformation of the inputs alters the training performance of feed-forward networks that are otherwise equivalent. However, most linear transforms are viewed as a pre-proc…