From their site: The University Research Program for Google Search is designed to give university faculty and their research teams high-volume programmatic access to Google Search, whose huge repository of data constitutes a valuable resource for understanding the structure and contents of the web. Our aim is to help bootstrap web research by offering basic information about specific search queries. Since the program builds on top of Google's search technology, you'll no longer have to operate your own crawl and indexing systems. We hope this will help enable some useful research, and request only that you publish any work you produce through this program for the academic community's general benefit.
The following is a list of sample source code snippets that matched your search term. Source code snippets are chunks of source code that were found out on the Web that you can cut and paste into your own source code. Whereas most of the sample source code we've curated for our directory is for consuming APIs, we occasionally find something interesting on the API provider side of things. If you know of some sample source code that would be of interest to the ProgrammableWeb community, we'd like to know about it. Be sure to check our guidelines for making contributions to ProgrammableWeb.
Artificial Neural Networks is a concept that interconnects neurons with images. It is associated to image, speech, and handwriting functions of the brain. Created by Google developers Alexander Mordvintsev, Michael Tyka, and Christopher Olah, this repository provides IPython Notebook with sample code and a link to the Google Research article, "Inceptionism: Going Deeper into Neural Networks."