Mahdi Dibaiee
|
85971bc84d
|
feat(w2v): draw text charts for words
|
2016-10-01 12:24:36 +03:30 |
|
Mahdi Dibaiee
|
d9d24f69a6
|
feat(blogs-corpus): new corpus for word2vec
|
2016-09-19 16:00:45 +04:30 |
|
Mahdi Dibaiee
|
d4ac90bbd5
|
rm(sin): remove sin example
fix(ignoreBiases): was ignoring nodes, lol
fix(w2v): better logging and implementation
|
2016-09-16 13:31:23 +04:30 |
|
Mahdi Dibaiee
|
6b9cb1fa3e
|
relu: run notmnist using relu activation and draw the chart
[wip] word2vec: work in progress implementation of word2vec
|
2016-09-13 09:49:44 +04:30 |
|
Mahdi Dibaiee
|
b26347e19f
|
feat(notmnist): notmnist example using SGD + learning rate decay
|
2016-09-10 00:36:15 +04:30 |
|
Mahdi Dibaiee
|
ea1f05f001
|
fix(naivebayes): fix the algorithm to make it actually work
feat(cleanDocuments): preprocess documents, use stemming and stopword elimination for better accuracy
|
2016-08-05 23:54:36 +04:30 |
|
Mahdi Dibaiee
|
b5b4629318
|
feat(results): accuracy, recall and precision functions used to calculate measures
fix: read data from another repository
|
2016-07-29 17:55:59 +04:30 |
|
Mahdi Dibaiee
|
26eb4531fa
|
feat(naivebayes): implement NaiveBayes algorithm
feat(example): a document classifier using NaiveBayes over reuters data
|
2016-07-29 16:16:44 +04:30 |
|
Mahdi Dibaiee
|
493a20eb0a
|
feat(crossEntropy): crossEntropy cost function
|
2016-07-24 10:48:04 +04:30 |
|
Mahdi Dibaiee
|
23851a85f5
|
fix(stack): use stack build and exec instead of manual stack ghc
refactor: rename from Lib to Sibe
|
2016-07-18 16:33:34 +04:30 |
|
Mahdi Dibaiee
|
4397f5203a
|
fix(train): fix an error in computing layer's error
feat(examples): add an example (xor)
|
2016-07-18 00:30:17 +04:30 |
|
Mahdi Dibaiee
|
59ab00e9c2
|
initial commit, still work in progress
|
2016-07-17 16:53:13 +04:30 |
|