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Commits on May 27, 2014

• Warn about Octave version

  danluu

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Commits on Mar 9, 2014

• Update

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Commits on Dec 11, 2013

• Add start of logistic regression example in Julia

  danluu

  committed
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• Linear regression in Julia

  danluu

  committed
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• Figure out plotting in Julia

  danluu

  committed
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Commits on Dec 7, 2013

• Read in file and covert to float

  danluu

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Commits on Dec 4, 2013

• Do convolution and pooling instead of using pre-computed values

  danluu

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Commits on Dec 2, 2013

• Use common feedForwardAutoencoder

  danluu

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• Make linearDecoderExercise Octave copmatible

  danluu

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• Move computeNumericalGradient into common

  danluu

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• Add pointers to last exercises

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Commits on Dec 1, 2013

• Fix markdown formatting for README

  danluu

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• Make deep learning via stacked autoencoder exercise Octave compatible

  danluu

  committed
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• Move initializedParameters into common

  danluu

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• Move softmax files into common for all problems.

  danluu

  committed
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• Fix bug caused by refactoring, add comment on Octave vs. MATLAB

  danluu

  committed
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• Move common files for self-taught learning into common directory

  danluu

  committed
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• Make PCA and softmax octave compatible

  danluu

  committed
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Commits on Nov 30, 2013

• Move display_images into common library

  danluu

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• Formatting

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• Convert sparse autoencoder from matlab to octave

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  committed
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• Formatting

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• Document part 1, rename file to avoid conflict with octave built-in

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  committed
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• Update README

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• Formatting

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Commits on Nov 14, 2013

• Fix typo

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• Update README phrasing

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Commits on Oct 30, 2013

• More README links

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Commits on Oct 29, 2013

• Rename folders to match exercise names

  danluu

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Commits on Oct 28, 2013

• Temporary README

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Commits on Oct 11, 2013

• danluu

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• Pooling and convolution with softmax

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  danluu

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• Implement pooling and convolution

  danluu

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• Add pre-req file

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• Add softmaxPredict

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