1 citations · 2 across the 3 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2021
Attempted Blind Constrained Descent Experiments
Prasad N R
Blind Descent uses constrained but, guided approach to learn the weights. The probability density function is non-zero in the infinite space of the dimension (case in point: Gaussi…
cs.LG2020★ 1 cited
Blind Descent: A Prequel to Gradient Descent
Akshat Gupta, Prasad N R
We describe an alternative learning method for neural networks, which we call Blind Descent. By design, Blind Descent does not face problems like exploding or vanishing gradients.…