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2026/08/17 12:08
Assignment
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emilian.radoi
2026/08/17 12:07
Lecture 10 - Experimental Design
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emilian.radoi
2026/08/17 12:07
Lecture 07 - Regression models
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emilian.radoi
2026/08/17 12:07
Lecture 05 - Summarising Measured Data
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emilian.radoi
2026/08/17 12:07
Lecture 04 - Workloads
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emilian.radoi
2026/08/17 12:07
Lecture 03 - Common Mistakes & Metrics
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emilian.radoi
2026/08/17 12:07
Lecture 02 - Charts
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emilian.radoi
2026/08/17 12:06
Lecture 01 - Introduction
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emilian.radoi
2026/08/10 17:46
Notare
– [Notare]
flavia.oprea
2026/08/10 17:44
Orar 2026-2027
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flavia.oprea
2026/08/10 17:41
Echipa PR
– [Asistenți]
flavia.oprea
2026/08/10 17:36
Proiectarea Rețelelor
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flavia.oprea
2026/07/18 02:15
GhostTag Apocalypse
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cezar.zlatea
2026/07/16 15:25
ass:labs-2025:deb-rauc-lab-skel-2026.tar.gz
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florin.stancu
2026/07/16 14:40
ass:labs-2025:04:deb-rauc-lab-skel-2026.tar.gz
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florin.stancu
2026/07/03 23:34
rasb:lab:pupper_viz.tar.gz
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andrei.batasev
2026/07/01 17:36
rasb:lab:base_back_kinematics.png
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andrei.batasev
2026/07/01 17:25
rasb:lab:l3_ee_kinematics.png
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andrei.batasev
2026/07/01 17:25
rasb:lab:l2_l3_kinematics.png
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andrei.batasev
2026/07/01 17:25
rasb:lab:l1_l2_kinematics.png
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andrei.batasev
General Information
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 - Segmentation and Detection
Lab 05 - Transformer Encoder
Lab 06 - Semi-Supervised Learning with FixMatch
Lab 07 - Self-Supervised Learning with SimCLR
Lab 08 - Project Presentations
Assignments
Project
Competition
Annotation
dsm.txt · Last modified: 2025/10/18 15:53 by emilian.radoi
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