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Title: History for code/logistic_cg.py - euphoris/DeepLearningTutorials · GitHub

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

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

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https://github.com/lamblin
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Used start-snippet-# and end-snippet-# for precise inclusion of code in ReStructuredText files. Many cosmetic changes to reduce pep8 warnings.https://github.com/euphoris/DeepLearningTutorials/commit/7d867f02ee3b7a5490a24c5cbef3173b02ff6649
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https://github.com/euphoris/DeepLearningTutorials/tree/7d867f02ee3b7a5490a24c5cbef3173b02ff6649
Remove duplicate code and make it support the new dataset loading fct.https://github.com/euphoris/DeepLearningTutorials/commit/42910775f0fedc56ff58b419a8f04716366baa49
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https://github.com/euphoris/DeepLearningTutorials/tree/42910775f0fedc56ff58b419a8f04716366baa49
Always load the data from the data folder.https://github.com/euphoris/DeepLearningTutorials/commit/c47587036c39793164409987403907dba5d6e9b8
https://github.com/nouiz
nouizhttps://github.com/euphoris/DeepLearningTutorials/commits?author=nouiz
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https://github.com/euphoris/DeepLearningTutorials/tree/c47587036c39793164409987403907dba5d6e9b8
use borrow=True when making shared variable to make the example work with 32 bits python.https://github.com/euphoris/DeepLearningTutorials/commit/8596e694bc30bb7f4a311609f2ed79ed0b91f10c
https://github.com/nouiz
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https://github.com/euphoris/DeepLearningTutorials/tree/8596e694bc30bb7f4a311609f2ed79ed0b91f10c
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https://github.com/euphoris/DeepLearningTutorials/tree/797cc2e85d02dfbd65c5b7b933cf38f9f2d8df43
Use numpy.inf instead of float('inf').https://github.com/euphoris/DeepLearningTutorials/commit/230e17f92759ced28b5d14c663443fe3b159465c
https://github.com/lamblin
lamblinhttps://github.com/euphoris/DeepLearningTutorials/commits?author=lamblin
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https://github.com/euphoris/DeepLearningTutorials/tree/230e17f92759ced28b5d14c663443fe3b159465c
Remove use of .value in logistic regressionhttps://github.com/euphoris/DeepLearningTutorials/commit/72b5062b22cda6ac1af93f046dc4d0685efb4224
https://github.com/lamblin
lamblinhttps://github.com/euphoris/DeepLearningTutorials/commits?author=lamblin
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https://github.com/euphoris/DeepLearningTutorials/tree/72b5062b22cda6ac1af93f046dc4d0685efb4224
white space fix.https://github.com/euphoris/DeepLearningTutorials/commit/f3eb854565bfc9b0e421bb63a97da93b484f4740
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nouizhttps://github.com/euphoris/DeepLearningTutorials/commits?author=nouiz
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https://github.com/euphoris/DeepLearningTutorials/tree/f3eb854565bfc9b0e421bb63a97da93b484f4740
add name to theano function and shared variable.https://github.com/euphoris/DeepLearningTutorials/commit/19040c305f27511a236b184faca790614e4e2fe7
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https://github.com/euphoris/DeepLearningTutorials/tree/19040c305f27511a236b184faca790614e4e2fe7
removed the expected time from the tutorial code. Now into test.py:speedhttps://github.com/euphoris/DeepLearningTutorials/commit/a8ee2e6618d3b5668323811a09211d16ab4d60e8
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https://github.com/euphoris/DeepLearningTutorials/tree/a59a2bf77abe78e0241bef0bb07b4327e00d28c8
moved the timing into the code to time only the exec time.https://github.com/euphoris/DeepLearningTutorials/commit/223e870b2fa4c4745bdb9f1735a86f4cc88927be
https://github.com/nouiz
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https://github.com/euphoris/DeepLearningTutorials/tree/223e870b2fa4c4745bdb9f1735a86f4cc88927be
I merged my version 2 into the official deep learning tutorialshttps://github.com/euphoris/DeepLearningTutorials/commit/d71dce932f633fa68959bc661335e06b26b2112e
d71dce9https://github.com/euphoris/DeepLearningTutorials/commit/d71dce932f633fa68959bc661335e06b26b2112e
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https://github.com/euphoris/DeepLearningTutorials/tree/d71dce932f633fa68959bc661335e06b26b2112e
a few typos + a few updates to rbmhttps://github.com/euphoris/DeepLearningTutorials/commit/cffce58c56312f3add17ff6db3b30618647b7ad5
cffce58https://github.com/euphoris/DeepLearningTutorials/commit/cffce58c56312f3add17ff6db3b30618647b7ad5
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https://github.com/euphoris/DeepLearningTutorials/tree/cffce58c56312f3add17ff6db3b30618647b7ad5
working version of SdA.pyhttps://github.com/euphoris/DeepLearningTutorials/commit/c8fc56d12611ea291d9bf3adf7149aaa5e27dbe2
c8fc56dhttps://github.com/euphoris/DeepLearningTutorials/commit/c8fc56d12611ea291d9bf3adf7149aaa5e27dbe2
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https://github.com/euphoris/DeepLearningTutorials/tree/c8fc56d12611ea291d9bf3adf7149aaa5e27dbe2
I have made all tutorials (code and documentation) to use shared variable to store dataset as James suggested. I also changed the validation_frequency to Yoshua's suggestion. One should still need…https://github.com/euphoris/DeepLearningTutorials/commit/a074b324c711b9af82f278d40a896035fa5d393c
https://github.com/pascanur
pascanurhttps://github.com/euphoris/DeepLearningTutorials/commits?author=pascanur
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https://github.com/euphoris/DeepLearningTutorials/tree/a074b324c711b9af82f278d40a896035fa5d393c
Changing to the new way of storing the dataset (using shared variables)https://github.com/euphoris/DeepLearningTutorials/commit/ffa5bf912840450f39957b42dc6af8005628e12c
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https://github.com/euphoris/DeepLearningTutorials/tree/ffa5bf912840450f39957b42dc6af8005628e12c
Change 'T.sum' to 'T.mean' in computations of NLL, change the documentation accordinglyhttps://github.com/euphoris/DeepLearningTutorials/commit/3ed2a7f7c6e2310d77e80c0d92f544d26d1c8a31
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https://github.com/euphoris/DeepLearningTutorials/tree/3ed2a7f7c6e2310d77e80c0d92f544d26d1c8a31
I changed the pickled file such that it is not divided in minibatches before hand. Note that the code now generates some warning .. this is because of an issue with advanced indexing that Pascal w…https://github.com/euphoris/DeepLearningTutorials/commit/36c00803c41a5f5f2c699f6f51a3b8050c81b731
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pascanurhttps://github.com/euphoris/DeepLearningTutorials/commits?author=pascanur
36c0080https://github.com/euphoris/DeepLearningTutorials/commit/36c00803c41a5f5f2c699f6f51a3b8050c81b731
https://github.com/euphoris/DeepLearningTutorials/blob/36c00803c41a5f5f2c699f6f51a3b8050c81b731/code/logistic_cg.py
https://github.com/euphoris/DeepLearningTutorials/tree/36c00803c41a5f5f2c699f6f51a3b8050c81b731
Several TODO solvedhttps://github.com/euphoris/DeepLearningTutorials/commit/2d10ca2eef9fdd049c3222d6a8c6c0c6b712f478
https://github.com/pascanur
pascanurhttps://github.com/euphoris/DeepLearningTutorials/commits?author=pascanur
2d10ca2https://github.com/euphoris/DeepLearningTutorials/commit/2d10ca2eef9fdd049c3222d6a8c6c0c6b712f478
https://github.com/euphoris/DeepLearningTutorials/blob/2d10ca2eef9fdd049c3222d6a8c6c0c6b712f478/code/logistic_cg.py
https://github.com/euphoris/DeepLearningTutorials/tree/2d10ca2eef9fdd049c3222d6a8c6c0c6b712f478
mergehttps://github.com/euphoris/DeepLearningTutorials/commit/882766f2cdf9f13cb822c42de54b3bac1d44af75
882766fhttps://github.com/euphoris/DeepLearningTutorials/commit/882766f2cdf9f13cb822c42de54b3bac1d44af75
https://github.com/euphoris/DeepLearningTutorials/blob/882766f2cdf9f13cb822c42de54b3bac1d44af75/code/logistic_cg.py
https://github.com/euphoris/DeepLearningTutorials/tree/882766f2cdf9f13cb822c42de54b3bac1d44af75
removed categorical_softmax and inserted advanced indexinghttps://github.com/euphoris/DeepLearningTutorials/commit/092c587f43c9e572d7be9cb70e2880a6c1fd8263
092c587https://github.com/euphoris/DeepLearningTutorials/commit/092c587f43c9e572d7be9cb70e2880a6c1fd8263
https://github.com/euphoris/DeepLearningTutorials/blob/092c587f43c9e572d7be9cb70e2880a6c1fd8263/code/logistic_cg.py
https://github.com/euphoris/DeepLearningTutorials/tree/092c587f43c9e572d7be9cb70e2880a6c1fd8263
fix about the size of the minibatchhttps://github.com/euphoris/DeepLearningTutorials/commit/aea8ac4b3649ae7cb262236f45bc7b661d8407c7
aea8ac4https://github.com/euphoris/DeepLearningTutorials/commit/aea8ac4b3649ae7cb262236f45bc7b661d8407c7
https://github.com/euphoris/DeepLearningTutorials/blob/aea8ac4b3649ae7cb262236f45bc7b661d8407c7/code/logistic_cg.py
https://github.com/euphoris/DeepLearningTutorials/tree/aea8ac4b3649ae7cb262236f45bc7b661d8407c7
Switched to new theano.shared and theano.functionhttps://github.com/euphoris/DeepLearningTutorials/commit/fc40c2298a1eaa0e0494865ff7269120e0d0ba45
https://github.com/pascanur
pascanurhttps://github.com/euphoris/DeepLearningTutorials/commits?author=pascanur
fc40c22https://github.com/euphoris/DeepLearningTutorials/commit/fc40c2298a1eaa0e0494865ff7269120e0d0ba45
https://github.com/euphoris/DeepLearningTutorials/blob/fc40c2298a1eaa0e0494865ff7269120e0d0ba45/code/logistic_cg.py
https://github.com/euphoris/DeepLearningTutorials/tree/fc40c2298a1eaa0e0494865ff7269120e0d0ba45
Stats for logistic_sgd and mlphttps://github.com/euphoris/DeepLearningTutorials/commit/750a2cce487bee4090b9bd93888efae76745ec45
https://github.com/pascanur
pascanurhttps://github.com/euphoris/DeepLearningTutorials/commits?author=pascanur
750a2cchttps://github.com/euphoris/DeepLearningTutorials/commit/750a2cce487bee4090b9bd93888efae76745ec45
https://github.com/euphoris/DeepLearningTutorials/blob/750a2cce487bee4090b9bd93888efae76745ec45/code/logistic_cg.py
https://github.com/euphoris/DeepLearningTutorials/tree/750a2cce487bee4090b9bd93888efae76745ec45
Batch size of 5 + first draft of mlp codehttps://github.com/euphoris/DeepLearningTutorials/commit/817ad301ad3dcc247feea30b7b30a2cbd807d219
https://github.com/pascanur
pascanurhttps://github.com/euphoris/DeepLearningTutorials/commits?author=pascanur
817ad30https://github.com/euphoris/DeepLearningTutorials/commit/817ad301ad3dcc247feea30b7b30a2cbd807d219
https://github.com/euphoris/DeepLearningTutorials/blob/817ad301ad3dcc247feea30b7b30a2cbd807d219/code/logistic_cg.py
https://github.com/euphoris/DeepLearningTutorials/tree/817ad301ad3dcc247feea30b7b30a2cbd807d219
logistic_sgd and logistic_cg runninghttps://github.com/euphoris/DeepLearningTutorials/commit/b18a24b69f4d10eea52211b1b9dd319d44447c59
https://github.com/pascanur
pascanurhttps://github.com/euphoris/DeepLearningTutorials/commits?author=pascanur
b18a24bhttps://github.com/euphoris/DeepLearningTutorials/commit/b18a24b69f4d10eea52211b1b9dd319d44447c59
https://github.com/euphoris/DeepLearningTutorials/blob/b18a24b69f4d10eea52211b1b9dd319d44447c59/code/logistic_cg.py
https://github.com/euphoris/DeepLearningTutorials/tree/b18a24b69f4d10eea52211b1b9dd319d44447c59
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