Project 2 for the Deep Learning course (COSC 525). Involves the development of a Convolutional Neural Network.
The main code is located in the main.py file. The Neuron, FullyConnectedLayer, and NeuralNetwork classes are located in the src folder.
These instructions will get you a copy of the project up and running on your local machine.
You need to have a machine with Python > 3.6 and any Bash based shell (e.g. zsh) installed.
$ python3.7 -V
Python 3.7
$ echo $SHELL
/usr/bin/zshAll the installation steps are being handled by the Makefile.
Then, to create a conda environment, install the requirements, setup the library and run the tests execute the following commands:
$ make create_env
$ conda activate cosc525_project2
$ make requirementsFor manual installation, you can create a virtual environment and install the requirements by executing the following commands:
$ conda create -n cosc525_project2 -y python=3.7
$ conda activate cosc525_project2
$ conda install --file requirements.txt -yFirst, make sure you are in the correct virtual environment:
$ conda activate cosc525_project2
$ which python
/home/<user>/anaconda3/envs/src/bin/pythonNow, in order to run the code you can call the main.py directly.
$ python main.py -h
usage: main.py -d DATASET [-h]
Project 2 for the Deep Learning class (COSC 525). Involves the development
of a Convolutional Neural Network.
Required Arguments:
-d DATASET, --dataset DATASET
The datasets to train the network on. Options: [example1, example2, example3]
Optional Arguments:
-h, --help Show this help message and exitThis project is licensed under the Apache License - see the LICENSE file for details.