계단
요약 좌표평면위에서 경계를 나눠서 이 경계안에 포함되어있는지 아닌지 확인하는 문제 단순히 코딩을 하기전에, 생각을 먼저하고, 어떻게 구현해나갈까 이 방향성이 정말 중요한것 같다.
Tag
- Algorithm 14
- Artificial_Intelligence 6
- dfs 5
- bfs 5
- programmers 4
- space_station 4
- recursive 4
- CHO 3
- cross_entropy 3
- control 3
- loop 3
- softmax 2
- baekjoon 2
- network 2
- github_io_manual 1
- blog 1
- ruby 1
- Deeplearning 1
- gradient 1
- gradient_descent 1
- tensor 1
- linear_regression 1
- logistic_regression 1
- coding_test 1
- boostcamp 1
- kruskal 1
- tree 1
- signal 1
- fft 1
- greedy 1
- prime 1
- thief 1
- dynamic_programming 1
- binary_search 1
- implementation 1
- divide_conquer 1
- java 1
- simulation 1
- API 1
- icp 1
- algorithm 1
- wxy 1
- thesis 1
- DMRAC 1
- multi-agent 1
Algorithm
자바 코테 기본기
기초
감옥
DFS setting(python)
감옥
HBARUSDT
감옥
BFS
우주정거장
우주정거장
도둑질
Dynamic programming
Goldbach’s conjecture
Brute force
회의실 배정
Greedy
전력망 둘로 나누기
BFS
섬 연결하기
Kruskal algorithm
Dictionary
DFS
Marathon
DFS
Ticket
DFS
Artificial_Intelligence
Deep learning basic
Deeplearning
Softmax Classification
Softmax
Logistic Regression
Logistic Regression
Gradient Descent
Gradient Descent
Deeplearning
How Deep Learning Learns
dfs
Back to top ↑bfs
Back to top ↑programmers
Back to top ↑space_station
Back to top ↑recursive
Back to top ↑CHO
계단
요약 좌표평면위에서 경계를 나눠서 이 경계안에 포함되어있는지 아닌지 확인하는 문제 단순히 코딩을 하기전에, 생각을 먼저하고, 어떻게 구현해나갈까 이 방향성이 정말 중요한것 같다.
우주정거장
우주정거장
Marathon
DFS
cross_entropy
Deep learning basic
Deeplearning
Softmax Classification
Softmax
Logistic Regression
Logistic Regression
control
An Application of Model Reference Adaptive Control for Multi-Agent Synchronization in Drone Networks
DMRAC(continuously updates its parameters) vs classical pid (PID controllers use fixed gains)
Why learn control?
Control theory acts as a unifying framework across all fields of engineering. By understanding control systems, engineers can model, analyze, and regulate di...
Closed Loop Control
🚗 Control Systems Lectures - Closed Loop Control
loop
An Application of Model Reference Adaptive Control for Multi-Agent Synchronization in Drone Networks
DMRAC(continuously updates its parameters) vs classical pid (PID controllers use fixed gains)
Why learn control?
Control theory acts as a unifying framework across all fields of engineering. By understanding control systems, engineers can model, analyze, and regulate di...
Closed Loop Control
🚗 Control Systems Lectures - Closed Loop Control
softmax
Deep learning basic
Deeplearning
Softmax Classification
Softmax
baekjoon
Goldbach’s conjecture
Brute force
회의실 배정
Greedy
network
An Application of Model Reference Adaptive Control for Multi-Agent Synchronization in Drone Networks
DMRAC(continuously updates its parameters) vs classical pid (PID controllers use fixed gains)
Network basic
Network
github_io_manual
Error/github_io
루비 버전 충돌로 인한 에러 고치기 현재 나는 루비버전을 2개 다운 받아서 터미널을 켤때마다 버전이 충돌하는것 같다. rbenv global 3.1.2 커맨드를 이용해 버전을 변경해준다
blog
Error/github_io
루비 버전 충돌로 인한 에러 고치기 현재 나는 루비버전을 2개 다운 받아서 터미널을 켤때마다 버전이 충돌하는것 같다. rbenv global 3.1.2 커맨드를 이용해 버전을 변경해준다
ruby
Error/github_io
루비 버전 충돌로 인한 에러 고치기 현재 나는 루비버전을 2개 다운 받아서 터미널을 켤때마다 버전이 충돌하는것 같다. rbenv global 3.1.2 커맨드를 이용해 버전을 변경해준다
Deeplearning
Deeplearning
How Deep Learning Learns
gradient
Gradient Descent
Gradient Descent
gradient_descent
Gradient Descent
Gradient Descent
tensor
Back to top ↑linear_regression
Back to top ↑logistic_regression
Logistic Regression
Logistic Regression
coding_test
Dictionary
DFS
boostcamp
Dictionary
DFS
kruskal
섬 연결하기
Kruskal algorithm
tree
전력망 둘로 나누기
BFS
signal
FFT
Fourier series
fft
FFT
Fourier series
greedy
회의실 배정
Greedy
prime
Goldbach’s conjecture
Brute force
thief
도둑질
Dynamic programming
dynamic_programming
도둑질
Dynamic programming
binary_search
우주정거장
우주정거장
implementation
우주정거장
우주정거장
divide_conquer
우주정거장
우주정거장
java
자바 코테 기본기
기초
simulation
계단
요약 좌표평면위에서 경계를 나눠서 이 경계안에 포함되어있는지 아닌지 확인하는 문제 단순히 코딩을 하기전에, 생각을 먼저하고, 어떻게 구현해나갈까 이 방향성이 정말 중요한것 같다.
API
API
API
icp
ICP
ICP
algorithm
ICP
ICP
wxy
WXY 조정 파동
WXY 복합 조정
thesis
An Application of Model Reference Adaptive Control for Multi-Agent Synchronization in Drone Networks
DMRAC(continuously updates its parameters) vs classical pid (PID controllers use fixed gains)
DMRAC
An Application of Model Reference Adaptive Control for Multi-Agent Synchronization in Drone Networks
DMRAC(continuously updates its parameters) vs classical pid (PID controllers use fixed gains)
multi-agent
An Application of Model Reference Adaptive Control for Multi-Agent Synchronization in Drone Networks
DMRAC(continuously updates its parameters) vs classical pid (PID controllers use fixed gains)