• Implement a simple recurrent neural network.
• Implement the a deep convolutional generative adversarial networks (DCGAN) proposed in Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.
• [BONUS] Implement the vanilla style transfer algorithm proposed in Image Style Transfer Using Convolutional Neural Networks.

Working on the assignment in a virtual environment is highly encouraged. Please see below for executing a virtual environment.

cd assignment2
sudo pip install virtualenv # If you didn't install it
virtualenv -p python3 /your/path/to/the/virtual/env
source  /your/path/to/the/virtual/env/bin/activate
pip install -r requirements.txt  # Install dependencies
# Note that this does NOT install TensorFlow,
# which you need to do yourself.
# Work on the assignment
deactivate # Exit the virtual environment

Please clone or download as .zip file of this repository.

To start working on the assignment, simply run the following command to start an ipython kernel.

# port is only needed if you want to work on more than one notebooks
jupyter notebook --port=/your/port/

and then work on each problem with their corresponding .ipynb notebooks.

In this assignment, please use Python 3.5. You will need to make sure that your virtualenv setup is of the correct version of python is used.

The IPython Notebook Problem_1.ipynb will walk you through implementing simple recurrent neural network.

The IPython Notebook Problem_2.ipynb will help you have a better understanding of implementing a generative adversarial network.

This problem is a BONUS problem which is not required.

The IPython Notebook Problem_3.ipynb will walk you through implementing the neural style transfer algorithm.

Run the following command to zip all the necessary files for submitting your assignment.

sh collectSubmission.sh

This will create a file named assignment2.zip, please submit this file through the Google form. Do NOT create your own .zip file, you might accidentally include non-necessary materials for grading. We will deduct points if you don't follow the above submission guideline.

If you have any question or find a bug in this assignment (or even any suggestions), we are more than welcome to assist.

Again, NO INDIVIDUAL EMAILS WILL BE RESPONDED.

PLEASE USE PIAZZA TO POST QUESTIONS (under folder assignment2).