1. Project 7: Modeling Social Network Structures and their Dynamic Evolutions with User- Generated Data from IoT REU Student: Emma Ambrosini Graduate mentors: Marzieh Edraki Faculty Mentor(s): Dr. Guo-Jun Qi
Week 5 (June 19 – June 23, 2017)
Accomplishments:
Reviewed online Deep Learning course
Updated batch normalization function in DC GAN code, ran & gathered samples
Began process of translating Loss-Sensitive GAN to tensorflow DC GAN
Read further into LS GAN code and paper, identifying functions and structure
Got Tensorflow slim & original DCGAN code running
Issues/problems encountered and solutions (if any):
Problem with DC GAN learning – results were not as good as they should have been after 20 epochs
Possible problem with the batch normalization
Solution – possibly updating Cuda
Plans for next week:
Continue identifying key parts of the LS GAN and how they will be carried over to, and implemented in, Tensorflow
Read further into the equations used and how they are run within the actual code
Gather generated samples from DC GAN
NSF REU Research Experience on Internet of Things 2017