Soohyun’s Machine-learning

용어 이해 본문

Machine Learning/misc

용어 이해

Alex_Rose 2017. 10. 13. 14:32

regularization : kind of loss function


softmax classifier = multinomial logistic regression 

probability distribution : 확률 분포

analytic gradient :

regularization strength:



multivariate chain rule?

zero element wise? 


diagonal : 

contributing : 

Jacobian matrix? 










holistic : 

subtle : 

twitch : 

tweak : 

convex hull: 

brittle : 

scalable : 

hand-specify : 

ingest : 

spit : 

concise : 

backwards : 

afford : 

perspective : 

spurious : 

topology : 

equidistant : 

insure : 

alleviate : 

manifold : 

disaparate : 

quadrant : 

hone : 

clutter :

occlusion:

unravel : 

unwiedly :

denote : 

formalize : 

formulation : 

compactify : 

preferable : 

weigh : 

snippet : 

spetor : ter?





indicator : 


trivial : 

compound : 

formalism : 

upstream :

concise : 

variate : 

impractical : 





1) formulation :

2) hinge loss : 

faintly : 

jiggle : 

incur:

omit : 

canonical : 

wiggly : 

astray :

polynomials : 

coarse : 

offend : 

bias-variance : 편향 분산

quad :

stochastic depth : 

penalizes : 

interpretation :

parameterization : 

exponentiate : 

endow : 

contrast :

recap : 

infinitesimal : 

inexact : 

unbound : 

augment :

pictorically : 

incorporate : 

integrate :

quantize : 

diagnonal : 


'Machine Learning > misc' 카테고리의 다른 글

[introducing Python] Notes  (0) 2017.10.22
기호  (0) 2017.10.22
신경망 뼈대 구축하기  (0) 2017.10.13
머신러닝 잡다 정보  (0) 2017.10.09
머신러닝 자료 링크들  (0) 2017.10.09
Comments