Deep Learning ( Part 1 )

Each day we hear about some machine learning innovation which blows our mind and enthralls us. A lot of these innovations use deep learning concepts. In this post, I will try to jot down a few useful basics. Let's start with neural networks (say NN). An NN can outperform other traditional classification algorithms like Logistic regression, naive bayes etc. in complex tasks which involves large amount of variables and data. However, since NN uses nodes in layers to train and detect pattern, the number of nodes required increases exponentially for too complex tasks.