Deep Learning Projects

This repository contains various deep learning projects that I have implemented.

Contents

• Neural Style Transfer
• Recurrent Neural Network GRU

Neural Style Transfer

Description

In this project we provide a content image and a stlye image. We then generate loss based on pixel difference and transform the content image to be create in the style of the provided style image.

Files

style_transfer.ipynb: Jupyter notebook with the neural style transfer implementation. Images: Folder containing input examples with the resulting images

Example Output

Other Images Produced

Recurrent Neural Network GRU

Description

This project contains the pytorch implementation of a recurrent neural network with a gated recurrent unit. In this project we create example text output based on the lord of the rings and Donald Trump tweets from a string primer.

Files

rnn_gru.ipynb: Jupyter notebook with the recurrent neural network gru implementation.

Example Output