This repo contains code for work done by Mathieu Ravaut and Satya Krishna Gorti.
In this project we show a new adaptive learning rate algorithm on gradient descent and explore its effectiveness on the following tasks:
- Linear regression using Boston Housing Prices dataset
- Logistic regression using MNIST dataset
- Image Classification with neural networks using CIFAR-10 and CIFAR-100
The report of this work can be seen here