A couple of years ago, I was doing research involving Convolutional Neural Networks for object classification tasks (see here). At that point, deep learning was an (re)emergent field, but it hadn’t achieved mainstream yet.
Today, several factors are contributing to the increase of visibility:
- Announcements of great results in Kaggle competitions and commercial applications, such as Google’s improved photo search and Microsoft’s fast and robust speech recognition system.
- Online courses, such as Geoffrey Hinton’s “Neural Networks for Machine Learning” in Coursera.
- Greater variety of software implementations, including many that use the power of GPU parallelism.