We are going to take a step into the world of deep learning using PyTorch. In order to do that, you should know the basics of Python. Please go through the following section before attending labs. Necessary information for completing all labs will be provided here. If you have any questions please contact kerepecky@utia.cas.cz


Labs start here!


Labs schedule

Lab 1 – Machine learning with Python – 21.10.2021

Introduction to Python, Python fundamentals for ML, Colab, GitHub, SVM, KNN,Accuracy, TP, FP, precision, recall,

Class assignment here. Your assignment is due by 

Lab 1b – Hugging decision tree – 4.11.2021

Class assignment here. 

Lab 2 – Learning Fundamentals in Pytorch – 18.11.2021 – ONLINE!!!

Linear Regression in Pytorch: Shallow learning in Numpy, Linear regression in Pytorch – tensors, autograd, GPU acceleration, Dataset and Dataloader, Validation, Save, load and resume

Class assignment here. Your assignment is due by Dec 2, 2021, 23:00 CEST

Join Zoom Meeting

Lab 3  – Image classification and Transfer Learning – 2.12.2021

Image classification and Transfer Learning: Multi-class classification, Image classification with CNN, Transfer learning, Object detection

Class assignment here. Your assignment is due by Dec 16, 2021, 23:00 CEST

Online exercise recording: https://youtu.be/PQtfFVNr49c

Lab 4 – Selected Topics in Deep Learning – 16.12.2021

Selected topics in DL: Object detection, OCR, Image Retrieval, Face recognition, GANs

Class assignment here. Your assignment is due by

Lab 5 – Project Presentation and Labs classification – 6.1.2022

Win the prize!

1st prize: Anežka Lhotáková and Erik Dolejší, project „Character recognition in CAPTCHA images

2nd prize: Michaela Mašková and Vít Pánek, project „Ventilator Pressure Prediction