With machine learning, Neural Networks are looking promising for deep learning. But there is the rise of Bayesians, which is researchers doing Artificial Intelligence (AI) through the scientific method starting with an hypothesis. There is lots of trial and error designing a Neural Network, lots of parameters to tweak as one tries to get the data to correlate. Can machine learning and neural networks help us design better neural networks?

Great video on Deep Learning  and Multilayer Neural Networks,  Deep Learning Summer School, Montreal 2015

Visual features: From Fourier to Gabor,  Deep Learning Summer School, Montreal 2015

What is a MOOC? —  a study course made available over the Internet for free to a large number of people

The Columbia River in the snow