This was our final reading from Neural Networks and Deep Learning. This chapter explained the basics of convolutional networks. It goes on to talk about the ImageNet competition and the amazing progress in image recognition. The chapter talks about the basics of RNNs and LSTMS and ends with some predictions for future directions in deep learning research. The post is originally from 2015, but it reads like it could have been written in 2019.