Valið efni í rafmagns- og tölvuverkfræði (RAF609M vor 2019)
This is an implementation of a 3D-CNN network used to predict sex and age from T1w MRIs
Conv3D.ipynb - Jupyter notebook with CNN implemention
plot_results.ipynb - Jupyter notebook for visualizing results
parameter_search.py - Performs hyper-parameter with Hyperopt
read_results.py - Shell script for reading .csv with parameters and results from parameter_search.py
utils.py - Various functions used in the code
conv3D-weights.h5 - Weights for a pre-trained network
dropout30epochs_results.csv - Results and training data from parameter search over 30 epochs
data - Contains preprocessed data and labels
data_preprocess - Contains various code used to preprocess the data