Zeppelin, TensorFlow, Deep Learning 맛보기

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(Jun Kim)i2r.jun@gmail.com

Sprint “TensorFlow, Python Apache Zeppelin”

2017. 08. 15.

, !

• contributor

• :- Deep Learning:‣ Image Retrieval‣ Music Information Retrieval‣ Generative Adversarial Network

- Machine Learning- Online Analytical Processing- Data Warehouse

NOTICE!

• “ ”- - “ ~ ~”

• , -

• !

오늘의목표

DEMO

Deep Learning

• -

• - -

!

• (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/

,

?

• “ ” - http://hunkim.github.io/ml/

.

(Jun Kim)i2r.jun@gmail.com

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