dserbano/machine_learning_smartnet_2

backpropagation-algorithm classification convolutional convolutional-neural-networks digit-classifier dropout lecun machine-learning multi-label-classification neural-networks pooling python radial-basis-function relu sigmoid-function softmax support-vector-machines tanh

For 2nd assignment click here: Assignment.

The exercise 3 was implemented based on this paper: CCN SVM Classifier.

Dependencies have to be downloaded manually. Also download from http://ufldl.stanford.edu/housenumbers/ train_32x32.mat and test_32x32.mat and put them into a svhn folder

To read the report click here: Report.

About

2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.

backpropagation-algorithm classification convolutional convolutional-neural-networks digit-classifier dropout lecun machine-learning multi-label-classification neural-networks pooling python radial-basis-function relu sigmoid-function softmax support-vector-machines tanh

Languages

Language:Python 100.0%