Mahdi Dibaiee
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b26347e19f
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feat(notmnist): notmnist example using SGD + learning rate decay
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2016-09-10 00:36:15 +04:30 |
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Mahdi Dibaiee
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ea1f05f001
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fix(naivebayes): fix the algorithm to make it actually work
feat(cleanDocuments): preprocess documents, use stemming and stopword elimination for better accuracy
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2016-08-05 23:54:36 +04:30 |
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Mahdi Dibaiee
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b5b4629318
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feat(results): accuracy, recall and precision functions used to calculate measures
fix: read data from another repository
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2016-07-29 17:55:59 +04:30 |
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Mahdi Dibaiee
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26eb4531fa
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feat(naivebayes): implement NaiveBayes algorithm
feat(example): a document classifier using NaiveBayes over reuters data
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2016-07-29 16:16:44 +04:30 |
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Mahdi Dibaiee
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493a20eb0a
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feat(crossEntropy): crossEntropy cost function
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2016-07-24 10:48:04 +04:30 |
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Mahdi Dibaiee
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23851a85f5
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fix(stack): use stack build and exec instead of manual stack ghc
refactor: rename from Lib to Sibe
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2016-07-18 16:33:34 +04:30 |
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Mahdi Dibaiee
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4397f5203a
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fix(train): fix an error in computing layer's error
feat(examples): add an example (xor)
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2016-07-18 00:30:17 +04:30 |
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Mahdi Dibaiee
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59ab00e9c2
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initial commit, still work in progress
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2016-07-17 16:53:13 +04:30 |
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