How I Made a Neural Network Web Application in an Hour with Python

Computer vision is an exciting and quickly growing set of data science technologies. It has a broad range of applications from industrial quality control to disease diagnosis. I have dabbled with a few different technologies that fall under this umbrella before, and I decided that it would be a worthwhile endeavor to rapid prototype an image recognition web application that used a neural network. I used a deep learning framework called Caffe, created by the Berkeley Vision and Learning Center. There are several other comparable deep learning frameworks like Chainer, Theano, and Torch7 that were candidates, but I chose Caffe due to my previous experience with it. Caffe has a set of Python bindings, which is what I made use of for this project. If you’re interested in more theory behind deep…


Link to Full Article: How I Made a Neural Network Web Application in an Hour with Python