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.
Prerequisites
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 : 27th May 2023 - 29th May 2023
Time : 7:00 PM to 9:00 PM IST
Resource Person

Dr. Suchithra M S
Assistant Professor, CSE
Knowledge Partner
