Delavnica: Osnove globokega učenja
Tuesday, 22 April 2025 -
09:00
Monday, 21 April 2025
Tuesday, 22 April 2025
10:00
Introduction (– Meet the instructor. – Get familiar with your GPU-accelerated interactive JupyterLab environment.)
10:00 - 10:30
10:30
The Mechanics of Deep Learning (• 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 - 13:30
13:30
Lunch break
Lunch break
13:30 - 14:30
14:30
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)
14:30 - 16:00
16:00
Coffee break
Coffee break
16:00 - 16:15
16:15
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)
16:15 - 17:15
17:15
Final Review (– Complete the assessment to earn a certificate. – Review key learnings and wrap up questions. – Take the workshop survey.)
17:15 - 17:45