Deep Learning : What & Why ? – codeburst

This whole technology of putting artificial brain into machine is really fascinating, we humans because of our ingenious intellect has this natural instincts to go beyond what seems impossible to create tools and technology which becomes an extension to our day to day life, which can make decisions on our part and make our living super efficient. It is with this urge to make humans super productive we started putting artificial intelligence to the computer machines and now we have come a long way to build machines which can nearly think like human brains. Today we will see how Deep learning a branch of ML is really doing justice to all those valuable data floating around in this universe and processing it efficiently to help us reach to some rational conclusions in the filed of Speech recognition, Image Recognition, NLP, Healthcare, Financial Sector etc.. As we know that various Machine Learning techniques has been used to process our raw data to help us is content filtering on social network, to write recommendation engine for e-commerce based portals, In Image and Pattern recognitions, to transcribe speech to text etc. In 1986 Rina Dechter coined the expression Deep Learning for the first time, but Ivakhnenko & Lapa in 1965 wrote the first working learning algorithm for supervised, deep, feedforward, multilayer perceptrons was published by Ivakhnenko and Lapa in 1965.These ideas were implemented in a computer identification system by the World School Council London called "Alpha", which demonstrated the learning process.