Reinforcement Learning with TensorFlow

Deep learning

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 ...