This repository contains code and Jupyter notebooks submitted for the Deep Learning course offered at the Stevens Institute of Technology. I took the course as a senior undergraduate student as an elective course in order to pursue my interest in Deep Learning and other Machine Learning and Artificial Intelligence topics.
To use the contents of this notebook, you will require the following pieces of software:
- Python 3
- Tensorflow w/ Keras
- Jupyter
Python can be installed through your package manager, while Tensorflow, Keras, and Jupyter can generally be installed through Python's package management system.
During the development of my assignments, I made use of Google's Collab platform, which enables running of Jupyter notebooks with a GPU or TPU in the cloud. The GitHub page for the course for which these materials were published can be found here.
My university requires that I as a student abide by an honor code given by the university. As such, usage requires that this code not be used to commit an act of academic disonesty, including but not limited to submitting code from this repository as the student's own creation. While very unlikely, I do encourage the study of this code for the betterment and education of anyone interested in learning about Deep Learning.