neural networks

Activation Function in Neural Network

Reading Time: 14 minutes An Activation Function decides whether a neuron should be activate or not. This means that it will decide whether the neuron’s input to the network is important or not in the process of prediction using simpler mathematical operations.  The role of the Activation Function is to derive output from a set of input values fed to a node (or a layer). The primary role of Continue Reading

Convolutional Neural Network in TensorFlow

Reading Time: 3 minutes Introduction: As you might know, Neural networks reflect the behaviour of the human brain, allowing computer programs to recognise patterns and solve common problems in the fields of AI, machine learning, and deep learning. Neural networks are comprised of a node layers, containing an input layer, one or more hidden layers, and an output layer. Each node, or artificial neuron, connects to another and has Continue Reading

Getting Familiar with Activation Function and Its Types.

Reading Time: 7 minutes Hey Folks, In this blog we are going to discuss activation function in Artificial Neural Networks and their different types. Before going there, let’s get some idea about what is an artificial neural network? Artificial Neural Network(i.e., ANN) Artificial Neural Network refers to a biologically inspired sub-field of Artificial Intelligence modeled after the brain. ANN is a computational network based on a biological neural network Continue Reading

First interaction Artificial Neural Network

Reading Time: 4 minutes I hated biology in my school days and loved mathematics. After a long period of time I get to learn something which combines both mathematics and biology together, that is Artificial Neural Network short for ANN, inspired by biological Neural network. Though you might find it weird, that is how I would like to define the artificial neural network. When we say biology here, it Continue Reading