ujava.org deep learning with convolutional neural network

Deep Learning with Convolutional Neural Network

ujava.org Workshop

2015-04-06

www.idosi.com

CEO 강신동

Shindong KANG

(주)지능도시

www.idosi.comujava.org

www.idosi.comspaceapi.org

SVM (Support Vector Machine)

SVM : add features

SVM : linear separable

SVM : Kernel functions

SVM : Margin & Support Vectors

SVM : Soft Margin

Differential Equation

F = ma F = mg (g=9.8m/sec2, 10m/sec2)

ma = mg a = g y'' = g

y'' – g = 0

Differential Equation

Laplace Transform

Laplace Transform > Fourier Transform

Time domain → Frequency domain

Linearity

Solving DiffEq with Laplace Transform

Linear System

Dirac delta function

Physicist Dirac's function for Quantum Physics

Impulse Diagnosis

Impulse Response

www.idosi.comImpulse Response

Time-invariant System

Convolution

Convolution (합성곱)

Convolution function graph

Solving Convolution equation

Convolution in 2D

Convolution in 2D

www.idosi.comConvolution in Neural Network

www.idosi.comConvolution with Kernel

www.idosi.comImage Convolution

www.idosi.com3D Kernel

www.idosi.comFully connected neural network

www.idosi.comMax pooling, Avg pooling

www.idosi.comPooling effect

www.idosi.comCNN

www.idosi.comCNN

www.idosi.comOverfitting

www.idosi.comDrop-out

www.idosi.comDrop-out effect

www.idosi.comNeuroph

http://neuroph.sourceforge.net

www.idosi.comGitHub ivan NeuralNetworks

www.idosi.comDL4J

Thank you !

(주)지능도시

Intelligent City Ltd.

강신동

Shindong KANG

www.idosi.comceo@idosi.com