zeppelin, tensorflow, deep learning 맛보기
TRANSCRIPT
, !
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• contributor
• :- Deep Learning:‣ Image Retrieval‣ Music Information Retrieval‣ Generative Adversarial Network
- Machine Learning- Online Analytical Processing- Data Warehouse
NOTICE!
• “ ”- - “ ~ ~”
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오늘의목표
DEMO
Deep Learning
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• - -
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• (neuron)
Raschka, Sebastian. Python machine learning. Packt Publishing Ltd, 2015.
(1)
(2)
(3)
http://cs231n.github.io/neural-networks-1/
0
1
2
(3) (w)
(1) ( ) (2) (w)
(4) Activation (f)
(5)
w, b !
weight (w) bias (b) activation (f)
?
…
0 =0.9
1 =0.05
9 =0.0110 ( 0~9 10 )
…
?
Torres, Jordi. First contact with TensorFlow. Lulu. com, 2016.
<softmax> Activation 10 (w*x + b)
(0~9) 1
784(28x28)
: 9
: 9
: 9
Error
: 9
Error
w, b !
: [9, 3]
Error
100 !
…
…
w, b ?
!
(상황극으로�배우는�딥러닝)
( ) ( ) ( ) . !
. ?
( ) ! = !
( )
(Gradient Descent)
1) ( ) 2) w
( cross entropy ) 3) w 4) 1
Raschka, Sebastian. Python machine learning. Packt Publishing Ltd, 2015.
• Zeppelin:- - -
• TensorFlow:-
• Matplotlib:-
! !
• &
• GPU ! ( CPU )
“TensorFlow™ is an open source software library for numerical computation using data flow graphs.”
https://www.tensorflow.org/
Data Flow Graph
• TensorFlow data flow graph
• Node edge :- Node: - Edge:
• Graph (feed) !
https://www.tensorflow.org/
TensorFlow
, , http://hunkim.github.io/ml/
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