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1. Commits on Feb 13, 2014

   • added comments and MIT license

     

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2. Commits on Jan 20, 2014

   • fixed formatting

     

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3. Commits on Jan 12, 2014

   • additional notes about file tree

     

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   • removed all unfinished examples

     

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   • removed .pdf files

     

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   • added anomalyDetectionAndRecommenderSystems and clustering and DimensionalityReduction examples

     

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   • added support vector machine example

     

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   • added bias and variance example

     

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4. Commits on Jan 11, 2014

   • added example about underfit and overfit data

     

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   • update file tree

     

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   • added new folder for evaluating how well a machine learning algorithm works

     

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   • added instructions for how to use code

     

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   • removed unecessary files

     

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   • implemented neural network backpropagation and regularized gradient

     

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   • implemented derivative of sigmoid function also known as sigmoid gradient

     

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   • implemented regularized cost function correctly

     

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   • implemented feedforward propagation and cost function for neural network

     

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   • removed unnecessary comments

     

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5. Commits on Jan 10, 2014

   • added source of information

     

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   • fixed relative links to new file tree

     

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   • moved files to another folder

     

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   • added new folder for showing the backpropagation neural network learning algorithm

     

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6. Commits on Jan 9, 2014

   • added instructions

     

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   • removed unnecessary files

     

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   • everything working

     

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7. Commits on Jan 8, 2014

   • refactored saved weight parameters

     

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   • implemented neural network with multiple layers

     

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   • refactored file names

     

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   • implemented one-vs-all prediction on MNIST training set at 95.12% correct after training on 5000 images

     

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   • implemented one-vs-all digit recognition training

     

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   • refactoring and added more descriptive comments

     

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   • finished implementing vectorized logistic regression for neural network

     

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8. Commits on Jan 7, 2014

   • adding comments to code

     

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   • neural network example

     

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   • moved around logical AND neuron example

     

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