vc를 위한 인공지능 세미나
Post on 13-Apr-2017
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PowerPoint Presentation
( ), - DATANADA
2016. 01. 17 16:00~ K 15. @DATANADA, AI Company- Forked from / Seoul National University , / Seoul National University Application , VC .
2
. j@jdlab.org
John Park Organizer HP , Kaggle 20 .ADA Framework
: UC /
: IBM Researcher Symantec Security Researcher HP Principle Data Scientist : , ,
: Security Topics in Big Data (HP) Bitcoin and Security (HP)
: Intelligent Hashes for Centralized Malware Detection (US. Patent 2014)
4Issue ? CNN Unsupervised Learning / Reinforcement Learning / RNN
5 CS - MS Researcher, Park **
The Great A.I. Awakening ( ) - NYThttp://www.nytimes.com/2016/12/14/magazine/the-great-ai-awakening.html?_r=0
- *******
71, 2, 3, 4
Steam Engine
Electricity, Automobile
PC, Internet
Artificial Intelligence
?1234
8
, , Credit : Nvidia blog
9 , . .
vsEasyHard
10 (?)
11(Machine Learning)(Machine Learning)Machine learningis the subfield ofcomputer sciencethat "gives computers the ability to learn without being explicitly programmed " .
Computer
inputsprogram
outputs
Computer
inputsoutputs
program programming program !
12Quiz ?3 x + 2 x = 11 x + 4 x = -35 x + 5 x = 08 x + 3 x = 5 = 1, = -1
(3, 2), (1, 4), (5, 5), (8, 3) input data, 1, -3, 0, 5 label weight weight
13 Supervised Learning()Input labels (classification), (regression)
Unsupervised Learning()Input (clustering), (compression)
Reinforcement Learning()Label reward Action selection, policy learning
14Perceptron(Artificial Neural Network)
sigmoid activation function
15 (Regression) ()() (km) 1 ()
16 x 2 + x 0.3 + x (-1) + x 0.1 = ()
17 ,,, random ()2 ,,, 1 , ( )2 = 287.524
,,, ()2 0 ,
(Deep Learning)
19(Deep Learning) deep neural network Hidden layer = 2 deep network
weight ??
20 Vanishing gradient problemOverfitting problem
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