no code implementations • 5 Nov 2018 • Siddhartha Dhar Choudhury, Shashank Pandey, Kunal Mehrotra
Deep Genetic Net uses genetic algorithms along with deep neural networks to address the hyperparameter optimization problem, this approach uses ideas like mating and mutation which are key to genetic algorithms which help the neural net architecture to learn to optimize its hyperparameters by itself rather than depending on a person to explicitly set the values.
no code implementations • 30 Sep 2018 • Siddhartha Dhar Choudhury, Shashank Pandey
To reduce the time for training a regression model using neural network we introduce a loss function called Nth Absolute Root Mean Error (NARME).