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Title: History for code - StatML/DeepLearningTutorials · GitHub

Open Graph Title: History for code - StatML/DeepLearningTutorials

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Description: Deep Learning Tutorial notes and code. See the wiki for more info. - History for code - StatML/DeepLearningTutorials

Open Graph Description: Deep Learning Tutorial notes and code. See the wiki for more info. - History for code - StatML/DeepLearningTutorials

X Description: Deep Learning Tutorial notes and code. See the wiki for more info. - History for code - StatML/DeepLearningTutorials

Opengraph URL: https://github.com/StatML/DeepLearningTutorials

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typo/inconsistency in spelling of corruption	https://github.com/StatML/DeepLearningTutorials/commit/147cb2e9a9374d8f5b4673370c12ce6457b53cce
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add label to speedtest class	https://github.com/StatML/DeepLearningTutorials/commit/c52fa0099105fab466b721f0b5c5963a10188772
c52fa00	https://github.com/StatML/DeepLearningTutorials/commit/c52fa0099105fab466b721f0b5c5963a10188772
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Do the speed test on the new gpu back-end.	https://github.com/StatML/DeepLearningTutorials/commit/fd5cb65460df2dee9cfa250e3e7fbc864720bd86
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	https://github.com/StatML/DeepLearningTutorials/tree/cd462eccb4f351cec6915c4294b0197fd2aa51d9
Merge pull request #172 from abergeron/mixed	https://github.com/StatML/DeepLearningTutorials/commit/f1c0587f44e4bdc8d60afdf38ee5ef4c502263fb
	https://github.com/lamblin
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	https://github.com/StatML/DeepLearningTutorials/tree/f1c0587f44e4bdc8d60afdf38ee5ef4c502263fb
Adjust mean dtypes for scores in SdA too.	https://github.com/StatML/DeepLearningTutorials/commit/780cecc9abbe6181e8fe37f9bda386bdc01fe2ec
	https://github.com/abergeron
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Fix printout in lstm.py.	https://github.com/StatML/DeepLearningTutorials/commit/93837e03aeeff6917d2b3a121e05341b663fa890
	https://github.com/abergeron
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Fix import of sandbox.	https://github.com/StatML/DeepLearningTutorials/commit/5a13d9869587a84018b939f83f5fd85293c9a8a1
	https://github.com/abergeron
abergeron	https://github.com/StatML/DeepLearningTutorials/commits?author=abergeron
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Compute mean in higher precision to avoid overflow.	https://github.com/StatML/DeepLearningTutorials/commit/d4035919fe2342ba83f104e34d13a8962203c1e6
	https://github.com/abergeron
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move assert gpu_times not nan	https://github.com/StatML/DeepLearningTutorials/commit/f724c2c6054c736c548196d2a7a000ec307e0b0d
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single performance file open, correct only access times variables if tests ran	https://github.com/StatML/DeepLearningTutorials/commit/f14107d31d5cb05f192129a95d3f272acf4dbc09
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Add JUnit writer for speed tests, remove hardcoded reference times	https://github.com/StatML/DeepLearningTutorials/commit/82c85e2a6f74a92736c2afdd805710dedfcc4f4f
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Use MRG_RandomStreams instead for shared_randomstreams for GPU compat.	https://github.com/StatML/DeepLearningTutorials/commit/93c9a3642d8952f7816273cddfc55a5a9f64077b
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Python 3 + flake8 fixes.	https://github.com/StatML/DeepLearningTutorials/commit/75cbba67b4fdc271bae5b7020a2a3fc69b70328d
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Merge pull request #154 from nouiz/pool	https://github.com/StatML/DeepLearningTutorials/commit/1f5c10668f4574582fab831a55ef343efc1b861e
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Commit a small speed up.	https://github.com/StatML/DeepLearningTutorials/commit/de99c6eb17d802549bf08fc7ed5ed4f287f967c2
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fixed typo in SdA.py	https://github.com/StatML/DeepLearningTutorials/commit/aad4f16662edb643926a38b661f469b6026a6a72
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Finish passing to new conv2d interface	https://github.com/StatML/DeepLearningTutorials/commit/ff6939b7bcdb70c7acbd9ed4020eacbb0a65c6d0
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ff6939b	https://github.com/StatML/DeepLearningTutorials/commit/ff6939b7bcdb70c7acbd9ed4020eacbb0a65c6d0
	https://github.com/StatML/DeepLearningTutorials/blob/ff6939b7bcdb70c7acbd9ed4020eacbb0a65c6d0/code
	https://github.com/StatML/DeepLearningTutorials/tree/ff6939b7bcdb70c7acbd9ed4020eacbb0a65c6d0
Give name to theano function	https://github.com/StatML/DeepLearningTutorials/commit/57a80fd2bb51b171b81db05cbd33bcfaf68e322f
	https://github.com/nouiz
nouiz	https://github.com/StatML/DeepLearningTutorials/commits?author=nouiz
57a80fd	https://github.com/StatML/DeepLearningTutorials/commit/57a80fd2bb51b171b81db05cbd33bcfaf68e322f
	https://github.com/StatML/DeepLearningTutorials/blob/57a80fd2bb51b171b81db05cbd33bcfaf68e322f/code
	https://github.com/StatML/DeepLearningTutorials/tree/57a80fd2bb51b171b81db05cbd33bcfaf68e322f
Update mlp.py	https://github.com/StatML/DeepLearningTutorials/commit/bba82fbe92447b7e346a941847581199c05e4eeb
	https://github.com/whitej17
whitej17	https://github.com/StatML/DeepLearningTutorials/commits?author=whitej17
bba82fb	https://github.com/StatML/DeepLearningTutorials/commit/bba82fbe92447b7e346a941847581199c05e4eeb
	https://github.com/StatML/DeepLearningTutorials/blob/bba82fbe92447b7e346a941847581199c05e4eeb/code
	https://github.com/StatML/DeepLearningTutorials/tree/bba82fbe92447b7e346a941847581199c05e4eeb
Speed up 8 expected benchmark speed	https://github.com/StatML/DeepLearningTutorials/commit/cdfcde08e4667d794db3907ae19437c352baab85
	https://github.com/nouiz
nouiz	https://github.com/StatML/DeepLearningTutorials/commits?author=nouiz
cdfcde0	https://github.com/StatML/DeepLearningTutorials/commit/cdfcde08e4667d794db3907ae19437c352baab85
	https://github.com/StatML/DeepLearningTutorials/blob/cdfcde08e4667d794db3907ae19437c352baab85/code
	https://github.com/StatML/DeepLearningTutorials/tree/cdfcde08e4667d794db3907ae19437c352baab85
Update speed test to faster speed	https://github.com/StatML/DeepLearningTutorials/commit/0c8507bc469e0a99027350c526372b8c8dd8a75d
	https://github.com/nouiz
nouiz	https://github.com/StatML/DeepLearningTutorials/commits?author=nouiz
0c8507b	https://github.com/StatML/DeepLearningTutorials/commit/0c8507bc469e0a99027350c526372b8c8dd8a75d
	https://github.com/StatML/DeepLearningTutorials/blob/0c8507bc469e0a99027350c526372b8c8dd8a75d/code
	https://github.com/StatML/DeepLearningTutorials/tree/0c8507bc469e0a99027350c526372b8c8dd8a75d
Make DLT compatible with Theano 0.7	https://github.com/StatML/DeepLearningTutorials/commit/0ef0b4dd4d9ebcacb21c8079595637bc1742e588
	https://github.com/nouiz
nouiz	https://github.com/StatML/DeepLearningTutorials/commits?author=nouiz
0ef0b4d	https://github.com/StatML/DeepLearningTutorials/commit/0ef0b4dd4d9ebcacb21c8079595637bc1742e588
	https://github.com/StatML/DeepLearningTutorials/blob/0ef0b4dd4d9ebcacb21c8079595637bc1742e588/code
	https://github.com/StatML/DeepLearningTutorials/tree/0ef0b4dd4d9ebcacb21c8079595637bc1742e588
Update timing due to speed up. (lower the number of random number generator)	https://github.com/StatML/DeepLearningTutorials/commit/0054116a1cadc27fe6353f14ee48479e681c0b19
	https://github.com/nouiz
nouiz	https://github.com/StatML/DeepLearningTutorials/commits?author=nouiz
0054116	https://github.com/StatML/DeepLearningTutorials/commit/0054116a1cadc27fe6353f14ee48479e681c0b19
	https://github.com/StatML/DeepLearningTutorials/blob/0054116a1cadc27fe6353f14ee48479e681c0b19/code
	https://github.com/StatML/DeepLearningTutorials/tree/0054116a1cadc27fe6353f14ee48479e681c0b19
missed one print statement	https://github.com/StatML/DeepLearningTutorials/commit/8ca9239cbd9ad4472241bad638c4b283818295da
	https://github.com/gyom
gyom	https://github.com/StatML/DeepLearningTutorials/commits?author=gyom
8ca9239	https://github.com/StatML/DeepLearningTutorials/commit/8ca9239cbd9ad4472241bad638c4b283818295da
	https://github.com/StatML/DeepLearningTutorials/blob/8ca9239cbd9ad4472241bad638c4b283818295da/code
	https://github.com/StatML/DeepLearningTutorials/tree/8ca9239cbd9ad4472241bad638c4b283818295da
minor edit to respond to Pascal's suggestion	https://github.com/StatML/DeepLearningTutorials/commit/dcfe518dba2e346268ac88884578db5ce4fbebf4
	https://github.com/gyom
gyom	https://github.com/StatML/DeepLearningTutorials/commits?author=gyom
dcfe518	https://github.com/StatML/DeepLearningTutorials/commit/dcfe518dba2e346268ac88884578db5ce4fbebf4
	https://github.com/StatML/DeepLearningTutorials/blob/dcfe518dba2e346268ac88884578db5ce4fbebf4/code
	https://github.com/StatML/DeepLearningTutorials/tree/dcfe518dba2e346268ac88884578db5ce4fbebf4
got rid of all the xrange	https://github.com/StatML/DeepLearningTutorials/commit/4c0858de1073660842f3f9b8f53c162ca3107653
	https://github.com/gyom
gyom	https://github.com/StatML/DeepLearningTutorials/commits?author=gyom
4c0858d	https://github.com/StatML/DeepLearningTutorials/commit/4c0858de1073660842f3f9b8f53c162ca3107653
	https://github.com/StatML/DeepLearningTutorials/blob/4c0858de1073660842f3f9b8f53c162ca3107653/code
	https://github.com/StatML/DeepLearningTutorials/tree/4c0858de1073660842f3f9b8f53c162ca3107653
all fixes suggested by Pascal, plus update for the doc	https://github.com/StatML/DeepLearningTutorials/commit/226729f96785a96b22a937de199abab62e830de4
	https://github.com/gyom
gyom	https://github.com/StatML/DeepLearningTutorials/commits?author=gyom
226729f	https://github.com/StatML/DeepLearningTutorials/commit/226729f96785a96b22a937de199abab62e830de4
	https://github.com/StatML/DeepLearningTutorials/blob/226729f96785a96b22a937de199abab62e830de4/code
	https://github.com/StatML/DeepLearningTutorials/tree/226729f96785a96b22a937de199abab62e830de4
made rnnslu compatible with python 3. tested on cpu for many epochs, but not to completion	https://github.com/StatML/DeepLearningTutorials/commit/2c610d38168a38fbd0aa8fc032579114ff660cf2
	https://github.com/gyom
gyom	https://github.com/StatML/DeepLearningTutorials/commits?author=gyom
2c610d3	https://github.com/StatML/DeepLearningTutorials/commit/2c610d38168a38fbd0aa8fc032579114ff660cf2
	https://github.com/StatML/DeepLearningTutorials/blob/2c610d38168a38fbd0aa8fc032579114ff660cf2/code
	https://github.com/StatML/DeepLearningTutorials/tree/2c610d38168a38fbd0aa8fc032579114ff660cf2
partly fixed rnnrbm, but we will need to do some magic with the midi module to make it compatible with python 3	https://github.com/StatML/DeepLearningTutorials/commit/53f246dc2cd743131fd918542b7f24936e2decce
	https://github.com/gyom
gyom	https://github.com/StatML/DeepLearningTutorials/commits?author=gyom
53f246d	https://github.com/StatML/DeepLearningTutorials/commit/53f246dc2cd743131fd918542b7f24936e2decce
	https://github.com/StatML/DeepLearningTutorials/blob/53f246dc2cd743131fd918542b7f24936e2decce/code
	https://github.com/StatML/DeepLearningTutorials/tree/53f246dc2cd743131fd918542b7f24936e2decce
fixed everything except rnnrbm and rnnslu, partial tests run but not to completion	https://github.com/StatML/DeepLearningTutorials/commit/2c022d15401c67538fabeb1b5ae2a7470d5fb2f2
	https://github.com/gyom
gyom	https://github.com/StatML/DeepLearningTutorials/commits?author=gyom
2c022d1	https://github.com/StatML/DeepLearningTutorials/commit/2c022d15401c67538fabeb1b5ae2a7470d5fb2f2
	https://github.com/StatML/DeepLearningTutorials/blob/2c022d15401c67538fabeb1b5ae2a7470d5fb2f2/code
	https://github.com/StatML/DeepLearningTutorials/tree/2c022d15401c67538fabeb1b5ae2a7470d5fb2f2
successfully ported logistic_sgd.py	https://github.com/StatML/DeepLearningTutorials/commit/d2764f288b4e58e12bd492953d1c1a0b43d92e21
	https://github.com/gyom
gyom	https://github.com/StatML/DeepLearningTutorials/commits?author=gyom
d2764f2	https://github.com/StatML/DeepLearningTutorials/commit/d2764f288b4e58e12bd492953d1c1a0b43d92e21
	https://github.com/StatML/DeepLearningTutorials/blob/d2764f288b4e58e12bd492953d1c1a0b43d92e21/code
	https://github.com/StatML/DeepLearningTutorials/tree/d2764f288b4e58e12bd492953d1c1a0b43d92e21
Next	https://github.com/StatML/DeepLearningTutorials/commits/master/code?after=c745a0880572bff4f1337e2ca36522218dad4e31+34
	https://github.com
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