Artificial Neural Network (ANN): The Gateway to Artificial Intelligence

Neural networks try to simulate the human brain by combining computer science and statistics to solve common problems in the field of artificial intelligence (AI)

  • Neural Network Characterization
  • Problem Domains
  • Supervised Learning
  • Unsupervised Learning
  • Working with Python
Registration Fee : ₹900.00/-


Course Curriculum

  • Artificial Neural Network (ANN) introduction 
  • Human brain
  • Models of a neuron
  • Structure of neural networks
  • Problem domains
  • Learning process of neural networks
  • How to do classification using neural networks
  • Perceptron
  • Multilayer perceptron
  • How to do regression and prediction using neural networks
  • Modelling through regression
  • Linear and logistic regression for multiple classes
  • How to do clustering using neural networks
  • Implementing neural networks in Python
  • Visualization in neural networks
  • Design, test, and analyse neural networks
  • Theoretical and computer-based working with actual data

About the course

Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. Neural networks, also known as artificial neural networks (ANNs), are a subset of machine learning and are at the heart of deep learning algorithms. Their name and structure are inspired by the human brain, mimicking the way that biological neurons signal to one another. The course begins with how the human brain stimulates the construction of artificial neural networks. Neural networks allow computer programs to recognize patterns and solve common problems in the fields of AI, machine learning, and deep learning.  The classes will be conducted live, and subscribers can access the recorded video classes of the live sessions for a duration of three months. After the successful completion of classes, e-certificates will be issued by Manorama Horizon.


Recommended for anyone with high motivation to learn the concepts of artificial neural networks and passed Class XII with mathematics as one of the subjects

System Requirements

This course requires a system with a steady internet connection

Class Timings

Date : 20th March 2023 - 22nd March 2023

Time : 7:00 PM to 9:00 PM IST

Resource Person

Dr. Suchithra M S

Assistant Professor, CSE

Knowledge Partner