This week I implemented an API which is fast and has an encapsulated training routine for the integration between our NN part and the software part. It takes two classes’ processed data and train a network using these data. About the details of training, they are optimized by previous training sessions, which uses the default learning rate, the deep conv net, and 10 epochs of training. This API trains the model and saves the model with user’s profiles.
Team D4: Lavender Jiang, Eryn Qian, Chris Liu