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Commits on Dec 25, 2018

• Add Fashion MNIST demo for logistic regression.

  trekhleb

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• Add more description to demos.

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Commits on Dec 24, 2018

• Add Fashion MNIST neural-network demo.

  trekhleb

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• Fixing Pylint errors.

  trekhleb

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• Fixing Pylint errors.

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Commits on Dec 23, 2018

• Fixing Pylint errors.

  trekhleb

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• Add Gaussian Anomaly Detection demo.

  trekhleb

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• Add Gaussian Anomaly Detection source code.

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Commits on Dec 21, 2018

• Add K-Means.

  trekhleb

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• Add K-Means.

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Commits on Dec 20, 2018

• Add K-Means.

  trekhleb

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• Add multilayer perceptron.

  trekhleb

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• Add multilayer perceptron.

  trekhleb

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• Add multilayer perceptron.

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• Add multilayer perceptron.

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• Add multilayer perceptron.

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• Add multilayer perceptron.

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• Add multilayer perceptron.

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Commits on Dec 19, 2018

• Add multilayer perceptron.

  trekhleb

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• Add multilayer perceptron.

  trekhleb

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• Code style fixes for logistic regression.

  trekhleb

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• Add multilayer perceptron.

  trekhleb

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• Update README.

  trekhleb

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• Add digit recognition demo.

  trekhleb

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• Add digit recognition demo.

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Commits on Dec 18, 2018

• Update logistic regression README.

  trekhleb

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Commits on Dec 12, 2018

• Add logistic regression notebooks.

  trekhleb

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• Don't normalize just one feature.

  trekhleb

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• Add predict() method to LinearRegression.

  trekhleb

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• Fix normalize() function to avoid division by zero.

  trekhleb

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Commits on Dec 11, 2018

• Make normalization optional.

  trekhleb

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Commits on Dec 6, 2018

• Implement One-vs-All approach.

  trekhleb

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• Update logistic regression Jupyter notebook.

  trekhleb

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• Add gradient descent step.

  trekhleb

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• Fix logistic regression.

  trekhleb

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