Namespace:    sindilabmerced

PI: Suzanne Sindi
Institution: University of California, Merced
Project description:

This project uses Nautilus to build a Feed Forward Neural Network that would predict the outcome of breast Cancer patient’s treatment given their genetic mutation profile. Nautilus was used to shortened the training time by 700%.

Software: Keras, TensorFlow, PyTorch, Scikit-learn

Back to namespaces