Neural Networks Explained

So there are are 2 broad types of learning. But, underneath these two umbrellas, there are different types of neural networks that carry out different tasks. This model uses a series of perceptrons (equations) that takes inputs and converts them to one output between 0 and 1. This network can be used for classifying species of plants based on data or predicting house prices. Recurrent neural network (RNN) A model that processes sequential data to arrive at an output.