Analysis of Deep Networks for Recognition .

In this project, we explore how to manipulate and interpret deep networks. Training a model and adding different layers to a DNN can improve or degrade performance depending on different factors. Some factors we explore are varying convolution layers, dropout rates, pooling layers, etc.