Weekly Status Report 3/30/19

David Diao (dyd)

This week, I worked a lot on the web app to get it ready for the demo. I finished building out the basic frontend interfaces that we will need, and also finished up the backend endpoints that will be crucial for the demo. In addition, I worked on integrating Jessie and Tushar’s code into the web app.

Jessie Li (jessieli)

This week, I worked on building a CNN for the HASYv2 dataset. I trained a few networks with different epoch and batch numbers, but the highest I could get a random test set to was 79%. Part of this is because the reduced HASYv2 dataset is fairly small; much of the huge dataset we did not actually need. This needs some discussion; for the demo, at least, we can use the MNIST dataset of just digits (no characters or symbols), which my CNN has trained to a 98% accuracy rate.

 

Tushar Chetal (tchetal)

Had to change the segmentation algorithm based on the changes we discussed. Finished writing the segmentation algorithm.

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