Workshop: Fundamentals of Deep Learning (CNN, RNN, LLM)
Friday, 29 November 2024 -
09:00
Monday, 25 November 2024
Tuesday, 26 November 2024
Wednesday, 27 November 2024
Thursday, 28 November 2024
Friday, 29 November 2024
09:00
Introduction (– Meet the instructor. – Get familiar with your GPU-accelerated interactive JupyterLab environment.)
09:00 - 09:30
09:30
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.)
09:30 - 12:30
12:30
Lunch break
Lunch break
12:30 - 13:30
13:30
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.)
13:30 - 15:00
15:00
Coffee break
Coffee break
15:00 - 15:15
15:15
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.)
15:15 - 16:15
16:15
Final Review (– Complete the assessment to earn a certificate. – Review key learnings and wrap up questions. – Take the workshop survey.)
16:15 - 16:45