Deep Learning and Generative AI Use at Research Hospitals

Notebooks for SCTS Spring 2024 lecture on research hospital use cases for deep learning and generative AI

Bennett Wineholt / Cornell Center for Advanced Computing / bmw39@cornell.edu

Overall logistics

This material can be found at in a github repository at https://github.com/CornellCAC/SCTS_Hospital_DL_Gen_AI_2024 This material accompanies the Zoom-based lecture "Deep Learning and Generative AI Use at Research Hospitals", offered as part of the Cornell/WCM Scientific Computing Training Series (SCTS) described at https://its.weill.cornell.edu/scientific-computing-training-series

Run on Colab

It is recommended to run these Python Jupyter Notebooks on Google Colab as that was the development platform used. Model training was accelerated with a Colab Pro+ Nvidia V100 GPU, to replicate please consider modifying settings accordingly.

Please consult the previous lecture Intermediate Python Course for more details on running with Colab.

Data available from Kaggle

Datasets and notebook content used in these tutorials were derived from Kaggle materials, creating a Kaggle account can provide smooth access to those sources and further exploratory materials.