An Artificial Neuron Network (ANN) is also known as a neural network which is a computational model based on the structure of biological neural networks. It is based on an artificial human nervous system for receiving, processing, and transmitting data and information in terms of computer science.

Objective

• The Detailed ANN
• The Activation Functions
• How do ANNs work & learn
• Gradient Descent
• Stochastic Gradient Descent
• Backpropagation
• Understand limitations of a Single Perceptron
• Understand Neural Networks in Detail
• Illustrate Multi-Layer Perceptron
• Backpropagation – Learning Algorithm
• Understand Backpropagation

Case Studies

• Multiclass image classification with ANN
• Binary Data Classification with ANN