Tag: neural-networks

• Neural Networks: Activation Function

  Let’s understand activation functions with an exciting example. Consider the following dataset. We need to build a classification model for the following problem. The above problem is a “non-linear” problem and we cannot predict a label using a model of the form One possible solution to this problem is Feature Crosses. But what if we…

  Jay Gala

  July 16, 2022

  Machine Learning

  activation-function, machine-learning, neural-networks, relu, sigmoid

• Neural Networks

  

  Artificial Neural Networks (ANNs) are a subset of machine learning and form the base for deep learning. The name is inspired by the complex network of neurons that exist in the human brain. Neural networks are a set of algorithms that mimic the operations of a human brain to recognize relationships between vast amounts of…

  Jay Gala

  June 30, 2022

  Machine Learning

  deep-learning, Machine Learning, neural-networks