Deep Learning Quick Reference

Source network architecture

We're going to be using the Inception-V3 network architecture (https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Szegedy_Rethinking_the_Inception_CVPR_2016_paper.pdf). The Inception architecture is interesting and quite sophisticated relative to what you've seen so far in this book. If you recall from Chapter 7, Convolutional Neural Networks, one of the decisions we had to make around our network architecture was a choice in filter size. For each layer, we had to decide if we should use a 3 x 3 filter, for example, instead of a 5 x 5 filter. Of course, maybe another convolution isn't called for at all; it might be that something like pooling might be more appropriate. So, what if we just did all ...