AI대학원에서 전문적이고 다양한 온라인 강의를 제공합니다.
Lecture 01. Introduction to Computer Vision
113 2026-06-23
Lecture 02. Image Classification
93 2026-06-23
Lecture 03. CNN Architectures
79 2026-06-23
Lecture 04. CNN Architectures II
99 2026-06-23
Lecture 05. Object Detection
107 2026-06-23
Lecture 06. Object Detectors
90 2026-06-23
Lecture 07. Image Segmentation
104 2026-06-24
Lecture 08. Vision Transformers
93 2026-06-24
Lecture 09. Self-Supervised Learning
94 2026-06-24
Lecture 10. 3D Vision
44 2026-06-24
Lecture 11. Generative Models
30 2026-06-24
Lecture 12. Understanding Video
41 2026-06-24
Lecture 01. Introduction to Multicore Computing (1)
168 2026-01-26
Lecture 02. Performance of Parallel Programs
63 2026-01-26
Lecture 03. JAVA Thread Programming (1)
128 2026-01-26
Lecture 04. JAVA Thread Programming (2)
134 2026-01-26
Lecture 05. JAVA Thread Programming (3)
141 2026-01-26
Lecture 06. Introduction to OpenMP
128 2026-01-26
Lecture 07.OpenMP Programming (1)
70 2026-01-26
Lecture 08. OpenMP Programming (2)
120 2026-01-26
Lecture 09. OpenMP Programming (3)
130 2026-01-26
Lecture 10. Introduction to CUDA
161 2026-01-26
Lecture 11. CUDA Programming (1)
173 2026-01-26
Lecture 12. CUDA Programming (2)
161 2026-01-26
01. Introduction to JAVA
162 2026-01-26
02. Basic JAVA Programming Part1
152 2026-01-26
03. Basic JAVA Programming Part 2
161 2026-01-26
04. Iteration Array and Exception Part 1
149 2026-01-26
05. Iteration Array and Exception Part 2
65 2026-01-26
06. Class Object Part1
116 2026-01-26
07. Class Object Part2
185 2026-01-26
08. Inheritance Part1
138 2026-01-26
09. Inheritance Part2
48 2026-01-26
10. Module Package Part1
157 2026-01-26
11. Module Package Part2
54 2026-01-26
12. Generic and Collection
168 2026-01-26
13. IO Stream File IO
147 2026-01-26
0. Orientation
382 2023-12-08
1. Framework for ML
566 2023-12-08
2. Linear Regression
604 2023-12-08
3. Linear Classification
586 2023-12-08
4. Logistic Regression
565 2023-12-08
5. Feed-forward Neural Network
560 2023-12-08
6. Regularization for Deep Learning
581 2023-12-08
7. Optimization for Deep Learning
548 2023-12-08
8. Convolutional Neural Networks (1)
347 2023-12-11
9. Convolutional Neural Networks(2)
601 2023-12-11
10. Recurrent Neural Networks
334 2023-12-11
11. Word Vectors & Language Models
336 2023-12-11
12. Machine Translation
591 2023-12-11
13. Transformers
311 2023-12-11
14. Generative Models
573 2023-12-11
1. introduction
609 2023-12-11
2. discrete time signal and system
563 2023-12-11
3. Convolution video 1
556 2023-12-11
4. Convolution video 2
612 2023-12-11
5. fourier series and transformation
566 2023-12-11
6. FFT
553 2023-12-11
7. filtering
575 2023-12-11
8. filter
546 2023-12-11
9. audioProcessing 1-(1)
580 2023-12-11
10. audioProcessing 1-(2)
353 2023-12-11
11. audioProcessing 2
323 2023-12-11
12. image processing 1
592 2023-12-11
13. image processing 2
338 2023-12-11
14. Image Compression - DCT video 1
331 2023-12-11
15. Image Compression - DCT video 2
341 2023-12-11
1.Limits and Derivatives (1)
552 2024-09-05
2. Limits and Derivatives (2)
489 2024-09-06
3. Differentiation Rules (1)
499 2024-09-06
4. Differentiation Rules (2)
498 2024-09-06
5. Applications of Differentiation (1)
502 2024-09-06
6. Applications of Differentiation (2)
517 2024-09-06
7. Integrals (1)
509 2024-09-06
8. Integrals (2)
509 2024-09-06
9. Applications on Integration
478 2024-09-06
10.Techniques of Integration (1)
506 2024-09-06
11. Techniques of Integration (2)
311 2024-09-06
12. Further Applications of Integration
292 2024-09-06
13. Parametric Equations and Polar Coordinates
313 2024-09-06
14. Sequences, Series, and Power Series (1)
308 2024-09-06
15. Sequences, Series, and Power Series (2)
317 2024-09-06
1. Introduction
526 2024-09-13
2. Transfer Learning
517 2024-09-13
3. Multi-task Learning
501 2024-09-13
4. Few-shot Learning
510 2024-09-13
5. Domain Adaptation & Generalization (1)
499 2024-09-13
6. Domain Adaptation & Generalization (2)
467 2024-09-13
7. Continual & Lifelong Learning
471 2024-09-13
8. Active Learning
509 2024-09-13
9. Meta Learning
487 2024-09-13
10. Unsupervised Representation Learning 1 - Latent Factor Model (1)
296 2024-09-13
11. Unsupervised Representation Learning 1- Latent Factor Model (2)
297 2024-09-13
12. Unsupervised Representation Learning 2 - Self-supervised Learning
483 2024-09-13
Task-Adaptive Meta-Learning for Few-Shot Learning
770 2022-09-12
Refining Action Segmentation with Hierarchical Video Representations
688 2022-09-12
Multi-modality image computing for AI-assisted cardiology
965 2022-09-12
VisionScaling: Dynamic Learning and Resource Scaling in Mobile AI
717 2022-09-12
Probabilistic Neuromorphic Computing and Learning
748 2022-09-12
Optimizers for deep learning: From SGD to AdamP
913 2022-09-12
다크웹의 언어 재조명 (Shedding new light on the language of the Dark Web)
740 2022-09-12
HW/SW Co-Design for Deep Learning Acceleration
693 2022-09-23
Writing with Artificial Intelligence
684 2022-10-02
인공지능과 메타버스 기술
370 2022-11-15
Computer Vision in the Wild
719 2022-12-13
Towards a Natural Motion Generator
377 2022-12-27
Utilizing Visibility Algorithm for Fault
565 2023-04-04
Fine-tuning instability and non-termination in large-scale language models
632 2023-04-07
Empirical Methods and Recent Topics for Video Moment Retrieval
594 2023-05-19
Maillard Sampling: Boltzmann Exploration Done Optimally
607 2023-06-26
Can We Find Strong Lottery Tickets in Generative Models?
598 2023-08-18
Effective Representation Learning for Distribution Shift
559 2023-09-26
Effects of overparameterization on sharpness-aware minimization
692 2023-10-23