This repository contains solutions to my 5 projects related to Udacity's Deep Learning Nanodegree Foundation program. The notebooks lead you through implementing models such as convolutional networks, recurrent networks, and GANs.
I am leaving this open source on the honor system. Please do not plagarize my code! You will only learn by investing the time to work through the problems yourself!
A Deep Neural Network from scratch to make predictions of bike-sharing usage.
A Convolutional Neural Network (CNN) built from scrach to classify different breeds of dogs.
A Deep RNN to generate new scripts for your favorite TV show.
A Generative Adverserial Neural (GAN) to generate new "fake" celebrity faces.
A Deployed Recursive Neural Network which predicts the sentiments of the user-provided reviews.
Each directory has a requirements.txt describing the minimal dependencies required to run the notebooks in that directory.
To install these dependencies with pip, you can issue pip3 install -r requirements.txt