Well, lastly, let's pick up two websites which would be useful for watching the movement of deep learning going forward and for learning more and more new knowledge. It will help your study.

The first one is GitXiv (http://gitxiv.com/). The top page is as follows:

In GitXiv, there are mainly articles based on papers. But in addition to the links to papers, it sets the links to codes which were used for tests, hence you can shorten your research time. Of course, it updates new experiments one after another, so you can watch what approach is major or in which field deep learning is hot now. It sends the most updated information constantly if you register your e-mail address. You should try it:

The second one is Deep Learning News (http://news.startup.ml/). This is a collection of links for deep learning and machine learning related topics. It has the same UI as Hacker News (https://news.ycombinator.com/), which deals with news for the whole technology industry, so if you know Hacker News, you should be familiar with the layout:

The information on Deep Learning News is not updated that frequently, but it has tips not only for implementation or technique, but also tips for what field you can use for deep learning, and has deep learning and machine learning related event information, so it can be useful for ideation or inspiration. If you take a brief look at the URL in the top page list, you might come up with good ideas.

There are more useful websites, materials, and communities other than the two we picked up here, such as the deep learning group on Google+ (https://plus.google.com/communities/112866381580457264725), so you should watch the media which suit you. Anyway, now this industry is developing rapidly and it is definitely necessary to always watch out for updated information.