Study 35
- 3D Computer Vision 정리 — Ch3. 원근 투영(Perspective Projection)
- Representing a Moving Scene
- Week 1 "Robot Dynamics — Kinematics 입문"
- 같은 비용으로 더 똑똑한 AI를 만들 수 있을까?
- Robotics 01: Rigid Body Kinematics 기초 2/2
- Robotics 01: Rigid Body Kinematics 기초
- Basic Linear Algebra related to Computer Vision
- Pre-training Data for LLMs and Evaluation of LLMs
- Transformer architecture and GPTs
- 오답
- Mock Exam of Taey
- Search Algorithm
- Saddle point of optimizer
- RNN
- Bayesian Networks and Hidden Markov Models
- Clustering
- Sliding Mode
- Backstepping
- Denavit-Hartenberg (DH) Parameter
- Dimensionality Reduction & Matrix Factorization I
- Koordinate System, Euler Angle, Cardan Angle, Rotation Matrix
- Logical Agents
- Constraint Satisfaction Problems
- Flatness
- Feedback Linearization
- Passivity
- Support Vector Machines (SVM) and Kernels
- Deep Learning II
- Deep Learning I
- Optimization
- Linear Classification
- Linear Regression
- Probabilistic Inference : MLE, MAP, and Bayesian Estimation
- k-Nearest Neighbors Algorithm and Decision Tree
- Linearization & Phase Portraits