Deep learning refers to training large neural networks. Let's first discuss some basic use cases of neural networks and why deep learning is creating such a furore even though these neural networks have been here for decades.
Following are the examples of supervised learning in neural networks:
| Inputs(x) | Output(y) | Application domain | Suggested neural network approach |
| House features | Price of the house | Real estate | Standard neural network with rectified linear unit in the output layer |
| Ad and user info Click on ad ? | Yes(1) or No(0) | Online advertising | Standard neural network with binary classification |
| Image object | Classifying from 100 different objects, that is (1,2,.....,100) | Photo tagging | Convolutional neural network (since ... |
