Workshop December 15, 2024 9:00 AM - 5:00 PM

Machine Learning Workshop

Hands-on workshop covering the latest developments in deep learning and neural networks

Research Building, Room 301

About This Event

Join us for an intensive hands-on workshop on machine learning and deep learning. This workshop is designed for researchers, students, and professionals who want to gain practical experience with state-of-the-art machine learning techniques.

Participants will work with real datasets, implement neural networks from scratch, and explore advanced topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer architectures.

What You'll Learn

🧠

Neural Network Fundamentals

Understand the mathematical foundations and architecture of neural networks

⚙️

Model Implementation

Build and train various neural network architectures from scratch

📊

Optimization Techniques

Learn best practices for training and optimizing machine learning models

🛠️

Framework Experience

Hands-on experience with TensorFlow and PyTorch frameworks

🌍

Real-world Applications

Explore practical applications and industry case studies

📈

Performance Evaluation

Learn to evaluate and interpret model performance metrics

Prerequisites

Required

Python Programming

Basic knowledge of Python syntax and data structures

Mathematics

Fundamental concepts in linear algebra and calculus

Optional

Machine Learning

No prior experience required - we'll start from the basics

What to Bring

Laptop with Python installed
Charging cable
Notebook and pen
Enthusiasm to learn!

Event Agenda

9:00 AM - 9:30 AM

Registration & Welcome

Check-in, setup, and introduction to the workshop

9:30 AM - 10:30 AM

Introduction to Neural Networks

Fundamental concepts and mathematical foundations

10:30 AM - 10:45 AM

Coffee Break

Networking and refreshments

10:45 AM - 12:00 PM

Hands-on: Building Your First Neural Network

Practical implementation using Python and TensorFlow

12:00 PM - 1:00 PM

Lunch Break

Lunch provided, networking opportunity

1:00 PM - 2:30 PM

Advanced Architectures: CNNs and RNNs

Convolutional and recurrent neural networks

2:30 PM - 2:45 PM

Afternoon Break

Refreshments and discussion

2:45 PM - 4:15 PM

Real-world Applications & Case Studies

Practical applications and industry examples

4:15 PM - 5:00 PM

Q&A & Networking

Open discussion and networking session