Deep-Learning

This repository contains the deep learning projects I completed in my Deep Learning course at the University of Missouri-Kansas City.

The deep learning topics are as follows:

1. Run different tests for linearity. (Multivariate_Linear_Regression.py)
2. Signal classification. (Signal_Classification.m)
3. Creating transfer networks using AlexNet and VGG-19 as the pretrained classifiers and measuring accuracy with ROC, AUC, sensitivity index, and rank 1 and rank 5. (all others)