Where can it be used ?
It can be used across variety of spectrum including computer vision, speech recognition, understanding natural language, understanding documents.
Deep Learning shines when there is a lot of data and often too complicated problem to solve.
History of Deep Learning:
1990 : A lot of work was done then. However major problems to its wide spread adoption existed because of the slow computers and tiny data set.
Early 2000 : Completely Disappeared
2009 onward : Big comeback because of cheap GPU’s and lots of data. Nowadays deep learning is being used in any situation which involves complex problem and lots of data
2009 : Gained Popularity in Speech Recognition
2012 : Gained Popularity in Computer Vision
2014 : Gained Popularity in Machine Translation .