Week 9

For Week 9, I participated in the following activities:

Met with DREU mentor and fellow students under Dr. Ghanbari for progress report and discussion
Normalized the contribution scores within DNN decompostion code in order to more accurately cluster data

Week 8

For Week 8, I participated in the following activities:

Met with DREU mentor and fellow students under Dr. Ghanbari for progress report and discussion
Modified DNN decomposition project to find largest average contribution score via clustering of these scores

For Week 7, I participated in the following activities:

Met with DREU mentor and fellow students under Dr. Ghanbari for progress report and discussion
Began writing code for decomposition of DNN project

For Week 6, I participated in the following activities:

Met with DREU mentor and fellow students under Dr. Ghanbari for progress report and discussion
Reviewed DNN modularization using a different technique
Practices DBSCAN method of clustering in Python

For Week 5, I participated in the following activities:

Met with DREU mentor and fellow students under Dr. Ghanbari for progress report and discussion
Reviewed DNN decomposition using a different training technique

For Week 4, I participated in the following activities:

For Week 3, I participated in the following activities:

Met with DREU mentor and fellow students under Dr. Ghanbari for progress report and discussion
Researching of topics related to DREU project, including DBSCAN and data normalization
Continuing of review of code thus far

For Week 2, I participated in the following activities:

Met with DREU mentor and fellow students under Dr. Ghanbari for progress report and discussion
Researching of topics related to DREU project, including deep learning and deep neural networks
Began reviewing of code thus far

For Week 1, I participated in the following activities:

Met with DREU mentor and discussed general research directions and given direct assignment
Read two papers related to DNN decomposition