An Introduction to Neural Networks

Subtopics: Classical ML Models (Linear Regression, K-Nearest Neighbours, Support Vector Machines), Perceptron, Neural Networks

Oct 20, 2023, 8:30 – 9:30 AM

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Explore ML

About this event

Are you ready to embark on an exciting journey into the world of neural networks and deep learning? Join us for an enlightening online event, "An Introduction to Neural Networks," where we will unravel the fascinating realm of artificial intelligence and its fundamental building blocks.

Agenda:

Introduction to Machine Learning: We'll kick off the event by delving into the basics of machine learning. You'll gain insights into classical machine learning models such as Linear Regression, K-Nearest Neighbors, and Support Vector Machines. These models serve as the foundation for understanding neural networks.

The Perceptron: Next, we'll introduce you to the Perceptron, a fundamental unit in neural networks. Learn how Perceptrons mimic the behavior of neurons in the human brain and how they pave the way for more complex neural network architectures.

Neural Networks Demystified: Our journey will culminate with a deep dive into neural networks. Discover the intricate layers, activations, and backpropagation techniques that enable neural networks to perform tasks ranging from image recognition to natural language processing.

Organizer

  • KRISHAY PRAKASH

    GDSC Lead

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