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mlmd's Introduction

Machine Learning

  • the repository is originally here, which is private repository.
  • this page is for the description of my machine learning project. image

1. plot norm

  • did not used pytorch, only mathmatics and numpy so that I can learn the basic mathmatics of what pytorch does.
  • full documents

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2. plot the (forward) first derivative of the solution of the heat equation with 1000 iterations

  • did not used pytorch, only mathmatics and numpy so that I can learn the basic mathmatics of what pytorch does.
  • full documents

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3. plot the input data in blue and the polynomial approximations with varying degrees in red (p = 1, 2, 4, 8, 16, 32)

  • did not used pytorch, only mathmatics and numpy so that I can learn the basic mathmatics of what pytorch does.
  • full documents

image

4. plot the loss surface in 3-dimension surface where x-axis represents , y-axis represents and z-axis represents

  • did not used pytorch, only mathmatics and numpy so that I can learn the basic mathmatics of what pytorch does.
  • full documents

image image

5. plot the optimal regression surface in 3-dimensional space with a given set of data points superimposed

  • did not used pytorch, only mathmatics and numpy so that I can learn the basic mathmatics of what pytorch does.
  • full documents

image

6. plot the classifier with the given data points superimposed

  • did not used pytorch, only mathmatics and numpy so that I can learn the basic mathmatics of what pytorch does.
  • full documents

image

7. plot the classifier with the given data points superimposed

  • did not used pytorch, only mathmatics and numpy so that I can learn the basic mathmatics of what pytorch does.
  • full documents

image image

8. classifier with many properties

  • did not used pytorch, only mathmatics and numpy so that I can learn the basic mathmatics of what pytorch does.
  • full documents

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9. clustring

  • did not used pytorch, only mathmatics and numpy so that I can learn the basic mathmatics of what pytorch does.
  • full documents

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10. PCA with eignVector

  • did not used pytorch, only mathmatics and numpy so that I can learn the basic mathmatics of what pytorch does.
  • full documents

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11. 0/1 binary classification

  • did not used pytorch, only mathmatics and numpy so that I can learn the basic mathmatics of what pytorch does.
  • full documents

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12. Image Recovery through CNN AutoEncoder PyTorch Data Augmentation

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