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[Day35] 퍼셉트론과 활성함수AIFFEL Life 2020. 12. 15. 16:57
오늘은 딥러닝의 기본 개념들 가운데 중요한 개념인 퍼셉트론과 활성함수에 대해서 공부했습니다. 참고할만한 좋은 자료들이 있어 아래와 같이 공유합니다.
1. History of the Perceptron
web.csulb.edu/~cwallis/artificialn/History.htm
History of the Perceptron
Threshold Step Sigmoid Piecewise Linear Gaussian
web.csulb.edu
2. Linear transformations and matrices | Essence of linear algebra, chapter 3
www.youtube.com/watch?v=kYB8IZa5AuE&feature=youtu.be
3. Perceptron
en.wikipedia.org/wiki/Perceptron
Perceptron - Wikipedia
In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a function which can decide whether or not an input, represented by a vector of numbers, belongs to some specific class.[1] It is a ty
en.wikipedia.org
4. Solving XOR with a single Perceptron
medium.com/@lucaspereira0612/solving-xor-with-a-single-perceptron-34539f395182
Solving XOR with a single Perceptron
Advocating for polynomial transformations as a way to increase the representational power of artificial neurons.
medium.com
5. Changing Colorspaces
docs.opencv.org/master/df/d9d/tutorial_py_colorspaces.html
OpenCV: Changing Colorspaces
Goal In this tutorial, you will learn how to convert images from one color-space to another, like BGR \(\leftrightarrow\) Gray, BGR \(\leftrightarrow\) HSV, etc. In addition to that, we will create an application to extract a colored object in a video You
docs.opencv.org
6. 쌍곡선 함수
ko.wikipedia.org/wiki/%EC%8C%8D%EA%B3%A1%EC%84%A0_%ED%95%A8%EC%88%98
쌍곡선 함수 - 위키백과, 우리 모두의 백과사전
위키백과, 우리 모두의 백과사전. 수학에서, 쌍곡선 함수(双曲線函數, 영어: hyperbolic function)는 일반적인 삼각함수와 유사한 성질을 갖는 함수로 삼각함수가 단위원 그래프를 매개변수로 표시할
ko.wikipedia.org
7. ReLU Deep Neural Networks and Linear Finite Elements
ReLU Deep Neural Networks and Linear Finite Elements
In this paper, we investigate the relationship between deep neural networks (DNN) with rectified linear unit (ReLU) function as the activation function and continuous piecewise linear (CPWL) functions, especially CPWL functions from the simplicial linear f
arxiv.org
8. Activation function
en.wikipedia.org/wiki/Activation_function
Activation function - Wikipedia
For the formalism used to approximate the influence of an extracellular electrical field on neurons, see activating function. For a linear system’s transfer function, see transfer function. Logistic activation function In artificial neural networks, the
en.wikipedia.org
9. Dance Moves of Deep Learning Activation Functions
www.youtube.com/watch?v=1Du1XScHCww&feature=youtu.be
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