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Commits on May 21, 2014

• Improved comment explaining numerical stability issue

  mnielsen

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• Fixing possible log of zero error

  mnielsen

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Commits on May 19, 2014

• Redo plots for multiple values of eta, and add a second image of the gradient valley (this time without axis labels)

  mnielsen

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Commits on May 17, 2014

• Reparameterizing the weight initialization results

  mnielsen

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• Updated parameterization for the more data plots

  mnielsen

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Commits on May 16, 2014

• Completing the re-parameterization

  mnielsen

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• Regenerating overfitting and regularization data, with new parameterization

  mnielsen

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Commits on May 15, 2014

• Redid the overfitting results with parameters that actually match what's in the text

  mnielsen

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• Fixing scaling of lmbda

  mnielsen

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• Changing normalization of L2 regularization parameter

  mnielsen

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• ...

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Commits on May 12, 2014

• Fixing mini-batch normalization

  mnielsen

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Commits on May 7, 2014

• Fixing the normalization

  mnielsen

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Commits on May 5, 2014

• Moving the old relu graphs

  mnielsen

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• Tests removed, will be refactored

  mnielsen

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• Lots of renaming to rationalize the organization of the code directory

  mnielsen

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• Removing old file

  mnielsen

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• Added save method and load function

  mnielsen

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• Finished the results with multiple learning rates

  mnielsen

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Commits on May 4, 2014

• Adding README for the replaced_by_d3 subdirectory

  mnielsen

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• Renamed many of the figures replaced by d3, adding first commit of a program to plot behaviour with different learning rates

  mnielsen

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Commits on Apr 30, 2014

• Reverting likely erroneous changes to the matrix arithmetic

  mnielsen

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• Improved documentation for network.py

  mnielsen

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Commits on Apr 29, 2014

• Minor bugfixes and refactoring

  mnielsen

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• Renaming network_basic, and making minor fixes to network2.py

  mnielsen

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Commits on Apr 28, 2014

• Regenerating graphs for 1/sqrt weight initialization

  mnielsen

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Commits on Apr 27, 2014

• Removing old code

  mnielsen

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Commits on Apr 26, 2014

• Added comparison graph for SVMs running over many training set sizes

  mnielsen

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• Added fudge factor which improves the appearance of the rotated MNIST 5

  mnielsen

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• Adding log plot showing what happens when more training data is used

  mnielsen

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• Adding figure of an MNIST digit and its rotated version

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Commits on Apr 25, 2014

• Adding a plot to show how more data improves training accuracy

  mnielsen

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Commits on Apr 23, 2014

• Results for the regularized network trained on the full data set

  mnielsen

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• Adding results for overfitting on full data set (much less is going on), plus a new graph

  mnielsen

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Commits on Apr 22, 2014

• Modified overfitting.py to make it easier to run on varied data sets

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