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Cursuri
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
Laboratoare
Laboratorul 01.
Laboratorul 02.
Laboratorul 03.
Laboratorul 04.
Laboratorul 05.
Laboratorul 06.
Laboratorul 07.
Laboratorul 08.
Laboratorul 09.
Laboratorul 10.
Laboratorul 11.
Laboratorul 12.
Resurse
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
Table of Contents
Cursuri
Laboratoare
Resurse
dsm/sidebar.1728242722.txt.gz ยท Last modified: 2024/10/06 22:25 by emilian.radoi
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