2024/2025

Neural Networks and Deep Learning

Type: Mago-Lego

Delivered by: Big Data and Information Retrieval School

When: 2, 3 module

Open to: students of one campus

Language: English

ECTS credits: 6

Contact hours: 48

Course Syllabus

Abstract

In today's data-driven world, neural networks and deep learning are revolutionizing how we solve complex problems. This course empowers students to utilize visual programming tools that integrate with the latest deep learning frameworks, allowing them to intuitively and efficiently tackle real-world challenges. By focusing on practical problem-solving, students will learn to apply neural network models to derive actionable insights, enhancing their analytical capabilities in a user-friendly environment. The course will specifically utilize KNIME, showcasing its strengths in visual programming to facilitate the development and deployment of deep learning models. The course will also explore Explainable AI (XAI), helping students understand how to make AI models more transparent and understandable.