|Title||Evaluation of Supervised and Unsupervised Machine Vision Algorithms for hand written Digit Recognition|
|Related Course(s)||Learning from Data|
|Description||In this project, two different machine vision algorithms are evaluated.
In particular experiments are conducted using Yann LeCun's approach of convolutional networks
Geoffrey Hinton's approach of using restricted Boltzmann machines (rbm) for training deep encoders.
Both these algorithms are tested on the MNIST dataset that consists of hand written digits.
In addition to the algorithms above, both of which use supervised learning for classification,