Introduction to Artificial Neural Networks | ANN Basics Explained | MRU E-Learning

Artificial Neural Networks (ANNs) are the foundation of Machine Learning and Deep Learning, inspired by the way the human brain processes information.
In this MRU E-Learning session from Malla Reddy University, learners are introduced to the basic concepts, architecture, and working of Artificial Neural Networks.

This session is ideal for students and beginners in AI, Machine Learning, Data Science, and Engineering.

📘 Topics Covered:
✔️ What is an Artificial Neural Network?
✔️ Biological vs Artificial Neurons
✔️ Structure of ANN (Input, Hidden & Output Layers)
✔️ Weights, Bias & Activation Functions
✔️ Learning Process & Backpropagation (Overview)
✔️ Types of Neural Networks
✔️ Applications of ANN

artificial neural networks
ANN basics
neural networks tutorial
machine learning fundamentals
deep learning introduction
AI neural networks
backpropagation basics
MRU E-Learning
Malla Reddy University
learn AI

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