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[Day39] 역전파를 이해하자AIFFEL Life 2020. 12. 16. 10:26
딥러닝 개념 중에 중요한 것 하나가 바로 역전파 (Backpropagation)이죠. 이해를 도와줄 만한 유용한 자료 모음들을 아래에 공유합니다.
1. What is backpropagation really doing? | Deep learning, chapter 3
www.youtube.com/watch?v=Ilg3gGewQ5U&feature=youtu.be
2. 역전파 (Backpropagation) 유도하기 2/3
www.youtube.com/watch?v=JVYXDDlZeSs&feature=youtu.be
3. A Derivation of Backpropagation in Matrix Form
A Derivation of Backpropagation in Matrix Form
Backpropagation is an algorithm used to train neural networks, used along with an optimization routine such as gradient descent. Gradient descent requires access to the gradient of the loss function with respect to all the weights in the network to perform
sudeepraja.github.io
4. Matrix Based Back-propagation
medium.com/@hindsellouk13/matrix-based-back-propagation-fe143ce2b2df
Matrix Based Back-propagation
Back-propagation is a commonly used technique when training neural networks, it consist of back-propagating the output error by tuning the…
medium.com
5. A Neural Network in 11 lines of Python (Part 1)
A Neural Network in 11 lines of Python (Part 1) - i am trask
Summary: I learn best with toy code that I can play with. This tutorial teaches backpropagation via a very simple toy example, a short python implementation. Edit: Some folks have asked about a followup article, and I'm planning to write one. I'll tweet it
iamtrask.github.io
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