So what actually is deep learning? It is a buzzword in neural network technology. What is a neural network then? An artificial neural network is a computer software model that replicates the behaviour of neurons in the human brain. A neural network is one way to classify data. For example, if we want to classify an image by whether it contains an object or not, we can use this method. There are several other computer software models for classification like logistic regression, Support Vector Machine (SVM); a neural network is one among them.

So why we are not calling it neural network instead of deep learning? The reason is that in deep learning, we use a large number of artificial neural networks. So you may ask, "So why it was not possible before?" The answer: to create a large number of neural networks (multilayer perceptron), we may need a high amount of computational power. So how has it become possible now? It's because of the availability...