Types of Neural Network
TYPES OF NEURAL NETWORKS The working of neural networks is similar to human brains in terms of decision-making. Neural networks differ from one another due to their unique principles used in framing rules . There are different types of neural networks - Feed-Forward Neural Network, Radial Basis Function Neural Network, Multilayer-Perceptron, Convolution Neural Network, Recurrent Neural Network, etc. The neurons receive input from previous layers, then process it and send it to the upcoming layers. Weights, activation functions plays important role in determining the strength of the input. Let us understand how neural networks work. Neural networks working is similar to the nervous system of the human body. It comprises one input layer, two or more hidden layers, and finally one output layer. Neural Network Let us consider an image called “9”, as an input, which is of 26x26 pixels. All together 26x26=676 are sent into the input layer. All ne...