ECE 595ML Lecture 16.1: Preceptron - From Logistic to Preceptron

By Stanley H. Chan

Electrical and Computer Engineering, Purdue University, West Lafayette, IN

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Researchers should cite this work as follows:

  • Stanley H. Chan (2020), "ECE 595ML Lecture 16.1: Preceptron - From Logistic to Preceptron," https://nanohub.org/resources/32599.

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WTHR 200, Purdue University, West Lafayette, IN

ECE 595ML Lecture 16.1: Preceptron - From Logistic to Preceptron
  • Lecture 16.1: Perceptron - From Logistic to Perceptron 1. Lecture 16.1: Perceptron - Fro… 0
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  • Overview 2. Overview 81.981981981981988
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  • Outline 3. Outline 93.860527193860534
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  • Perceptron as a Single-Layer Network 4. Perceptron as a Single-Layer N… 200.70070070070071
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  • From Logistic to Perceptron 5. From Logistic to Perceptron 361.89522856189524
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  • From Logistic to Perceptron 6. From Logistic to Perceptron 434.36770103436771
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  • How to Define Perceptron Loss Function 7. How to Define Perceptron Loss… 513.88054721388062
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  • Understanding the Perceptron Loss function 8. Understanding the Perceptron L… 582.38238238238239
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  • Perceptron Loss function 9. Perceptron Loss function 842.70937604270944
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  • Comparing the loss function Linear regression 10. Comparing the loss function Li… 1069.5695695695697
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  • Comparing the loss function 11. Comparing the loss function 1157.590924257591
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  • Perceptron Loss, Hinge Loss and ReLU 12. Perceptron Loss, Hinge Loss an… 1223.1231231231232
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  • Comparing Loss functions 13. Comparing Loss functions 1436.5699032365699
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