Artificial Neural Networks – As the name suggest “Neural Network”, they are inspired by brain system. They were originally designed to about biological neurons (also called as perceptrons).
Artificial Neural Networks
There are several kinds of Neural Networks in deep learning. Neural networks consist of input and output layers and at-least one hidden layer.
- Multi-Layer Perceptron
- Radial Basis Network
- Recurrent Neural Networks
- Generative Adversarial Networks
- Convolutional Neural Networks.
Neural network based on radial basis function with can be used for strategic reasons. There are several other models of neural network including what we have mentioned above. For an introduction to neural network and their working model continue reading this post. You will get a sense of how they work and used for real mathematical problems.