What makes Deep Learning deep....and world-changing?

Why is deep learning called deep? It is because of the structure of those ANNs. Four decades back, neural networks were only two layers deep as it was not computationally feasible to build larger networks. Now, it is common to have neural networks with 10 layers and even 100 layer ANNs are being tried upon. Using multiple levels of neural networks in deep learning, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. Normally data scientists spend a lot of time in data preparation – feature extraction or selecting variables which are actually useful to predictive analytics. Deep learning does this job automatically and makes life easier. To spur this development, many technology companies have made their deep learning libraries as open source, like Google's Tensorflow and Facebook's open source modules for Torch. Amazon released DSSTNE on GitHub, while Microsoft also released CNTK -- its open source deep learning toolkit -- on GitHub.