The contents of this repository are my solutions to the assignments in Deep Learning Nanodegree from Udacity.
The projects are:
- Bike sharing patterns analysis with a simple neural network (with a single hidden layer) written in NumPy,
- Dog breed classifier implemented as a Convolutional Neural Network in PyTorch,
- TV Script generation implemented as a Recurrent Neural Network in PyTorch,
- Face generation implemented as a Generative Adversarial Network in PyTorch,
- Sentiment Analysis RNN implemented in PyTorch with a deployment to AWS SageMaker.
In each folder there is a Jupyter Notebook file, which is the main file for a project. There you can find instructions for each assignment along with my solution.
Reviews I got for these projects can be found in the reviews
folder.