Name: Delavnica: Osnove globokega učenja
Start: 2025-10-23T10:00:00+02:00
End: 2025-10-23T18:00:00+02:00
Location: MS Teams

Delavnica: Osnove globokega učenja

Thursday, October 23, 2025 - 10:00 AM

Monday, October 20, 2025
Tuesday, October 21, 2025
Wednesday, October 22, 2025
Thursday, October 23, 2025

10:00 AM Introduction (– Meet the instructor. – Create an account at: courses.nvidia.com/join)

10:00 AM - 10:30 AM

10:30 AM The Mechanics of Deep Learning - Explore the fundamental mechanics and tools involved in successfully training deep neural networks) - (• Train your first computer vision model to learn the process of training. • Introduce convolutional neural networks to improve accuracy of predictions in vision applications. • Apply data augmentation to enhance a dataset and improve model generalization)

10:30 AM - 1:30 PM

1:30 PM Lunch break
Lunch break
1:30 PM - 2:30 PM

2:30 PM Pre-trained Models and Large Language Models (Leverage pre-trained models to solve deep learning challenges quickly. Train recurrent neural networks on sequential data: • Integrate a pre-trained image classification model to create an automatic doggy door. • Leverage transfer learning to create a personalized doggy door that only lets in your dog. • Use a Large Language Model (LLM) to answer questions based on provided text)

2:30 PM - 4:00 PM

4:00 PM Coffee break
Coffee break
4:00 PM - 4:15 PM

4:15 PM Final Project: Object Classification (Apply computer vision to create a model that distinguishes between fresh and rotten fruit: • Create and train a model that interprets color images. • Build a data generator to make the most out of small datasets – Improve training speed by combining transfer learning and feature extraction. – Discuss advanced neural network architectures and recent areas of research where students can further improve their skills.))

4:15 PM - 5:15 PM

5:15 PM Final Review (––Review key learnings and answer questions. - Complete the assessment to earn a certificate. – – Complete the workshop survey. – Learn how to set up your own AI application development environment).

5:15 PM - 5:45 PM

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