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'''심층 학습, 딥 러닝, deep learning'''

[[기계학습,machine_learning]]의 구현 기법(technique) 중 하나로, [[신경망,neural_network]] ( [[심층신경망,deep_neural_network,DNN]] - 페이지를 여기와 따로 만들지 말지 tbd. { '''DNN, Deep Nets''' http://sanghyukchun.github.io/54/  계층이 두터운 [[신경망,neural_network]]은, [[가중값,weight]]들이 랜덤 보다는 정교하게 [[초기화,initialization]]되면 매우 잘 훈련될 수 있다는 것이 발견됨 (2006-2007년, Hinton and Bengio의 breakthrough.[* https://youtu.be/AByVbUX1PUI?t=232]) } ) 를 사용. thanks to Hinton's DBN = deep_belief_network in 2006.
보통 massive data가 필요? 

ANN([[인공신경망,artificial_neural_network,ANN]])을 기반으로 구축한 머신러닝([[기계학습,machine_learning]]) 기술.

장점
 * requires little or no handcrafted feature extraction

Game AI(AlphaGo, etc.), image captioning, machine translation (https://github.com/tensorflow/nmt)



신경세포([[뉴런,neuron]])를 mimic함.

forward propagation

input layer - hidden layer - output layer




경사 강하 gradient descent

[[역전파,backpropagation]]


[[파이토치,PyTorch]]

= books =
[[ISBN(0262035618)]]

밑바닥부터 시작하는 딥러닝
Ggl:"밑바닥부터 시작하는 딥러닝"

Deep Learning with Python
Ggl:"Deep Learning with Python"
케라스 창시자에게 배우는 딥러닝
Ggl:"케라스 창시자에게 배우는 딥러닝"

[[ISBN(1491914254)]] Deep Learning: A Practitioner's Approach Ggl:"Deep Learning: A Practitioner's Approach"

= lectures =
모두를 위한 딥러닝 (김성훈)
YouTube:"모두를 위한 딥러닝"

Andrew Ng 코세라 강의:
Neural Networks and Deep Learning | Coursera
https://www.coursera.org/learn/neural-networks-deep-learning

= topix ''(tmp, via wpko)'' =
DNN deep_neural_network
CNN convolutional_neural_network
RNN recurrent_neural_network
RBM restricted_Boltzmann_machine
DBN deep_belief_network
심층 Q-네트워크(Deep Q-Networks) ,,pagename?,,
''...대부분 [[신경망,neural_network]]''

= tmp links ko =
쉽게 풀어쓴 딥러닝(Deep Learning)의 거의 모든 것
http://t-robotics.blogspot.com/2015/05/deep-learning.html
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https://jinseob2kim.github.io/deep_learning.html (2014)

딥러닝
DS-GA 1008 · 2020 봄 · NYU CENTER FOR DATA SCIENCE
강사 - 얀 르쿤 & 알프래도 캔지아니
https://atcold.github.io/pytorch-Deep-Learning/ko/

오승상 딥러닝
https://www.youtube.com/playlist?list=PLvbUC2Zh5oJvByu9KL82bswYT2IKf0K1M

Kaggle 사이트의 intro
https://www.kaggle.com/learn/intro-to-deep-learning
그걸 바탕으로 정리한 ko 글
https://webnautes.tistory.com/1646

UNIGE 14x050 – Deep Learning
https://fleuret.org/dlc/
François Fleuret's deep-learning courses 14x050 of the University of Geneva, Switzerland

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[[WpKo:딥_러닝]]
[[WpEn:Deep_learning]]
http://www.aistudy.com/learning/deep_learning.htm
HashKr:딥러닝 (tmp)

Up: [[학습,learning]] > [[기계학습,machine_learning]]