Mahdi Dibaiee
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7f90afba7f
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chore(readme): time is relative to the machine
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2016-10-08 19:57:00 +03:30 |
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Mahdi Dibaiee
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016ebcaa93
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chore(README): notmnist-relu
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2016-10-03 19:22:55 +03:30 |
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Mahdi Dibaiee
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56fded810a
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chore(readme): word2vec chart explained
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2016-10-01 12:32:08 +03:30 |
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Mahdi Dibaiee
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313e120f25
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crossEntropy chart for now
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2016-09-16 14:36:42 +04:30 |
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Mahdi Dibaiee
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6b9cb1fa3e
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relu: run notmnist using relu activation and draw the chart
[wip] word2vec: work in progress implementation of word2vec
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2016-09-13 09:49:44 +04:30 |
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Mahdi Dibaiee
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f379f208db
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fix(crossEntropy): implement crossEntropy' to be used in output layer
fix(softmax'): softmax was not correct
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2016-09-10 17:43:45 +04:30 |
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Mahdi Dibaiee
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c23fd14771
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chore: section
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2016-09-10 01:22:09 +04:30 |
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Mahdi Dibaiee
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6cb130b15e
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chore(README): simple neural network
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2016-09-10 01:20:08 +04:30 |
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Mahdi Dibaiee
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58851611dc
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chore(README): better readme, chart
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2016-09-10 01:15:38 +04:30 |
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Mahdi Dibaiee
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ace0a18653
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chore(README): explain how the top 10 method increases accuracy and F measure
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2016-08-21 01:21:42 +04:30 |
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Mahdi Dibaiee
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7d0ce29ba8
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chore(README): don't tell them about accuracy, let them try it themselves
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2016-08-21 01:07:01 +04:30 |
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Mahdi Dibaiee
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891f48a2d0
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feat(topten): top-ten classification with evenly distrubuted data
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2016-08-21 00:59:42 +04:30 |
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Mahdi Dibaiee
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b2888417bb
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fix(cleanText): remove unnecessary spaces
fix(run): use `1 - prior` for alpha, no need for smoothing
feat(cleanText): turn all text to lowercase
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2016-08-09 16:04:57 +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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eeabe4696c
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chore(README): simple initial README
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2016-07-29 16:26:50 +04:30 |
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