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Annotation
General Information
Semester Timeline
Grades
Lectures
Lecture 01 - Introduction
Lecture 02 - Neural Networks
Lecture 03 - Classification with CNNs
Lecture 04 - CNN Architectures
Lecture 05 - Transformers
Lecture 06 - Segmentation and Object Detection
Lecture 07 - Invited speaker
Lecture 08 - Semi-/Self-Supervised Learning
Lecture 09 - On Scaling and Compression
Lecture 10 - Language Modelling
Labs
Lab 01 - Pytorch and Linear Layers
Lab 02 - Convolutional Neural Networks
Lab 03 - CNN Architectures
Lab 04 - Transformer Encoder
Lab 05 - Segmentation and Detection
Lab 06 - Semi-Supervised Learning with FixMatch
Lab 07 - Self-Supervised Learning with SimCLR
Lab 08 - Project Presentations
Assignments
Project
Competition
Annotation
dsm/assignments/03.1761298601.txt.gz ยท Last modified: 2025/10/24 12:36 by emilian.radoi
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