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Analyzed about 22 hours ago. based on code collected 2 days ago.

Commit Message	Contributor	Files Modified	Lines Added	Lines Removed	Code Location	Date
Nov 04, 2025 — Nov 04, 2026 Showing page 34 of 37 Search / Filter on:
updates hyperparameters of lenet network	Guillaume Desjardins	More...				almost 17 years ago
made changes suggested by Yoshua fixed bug in convolutional layer (missing tanh !)	Guillaume Desjardins	More...				almost 17 years ago
added pointers to ift6266 course notes on the same subjects	Yoshua Bengio	More...				almost 17 years ago
put argmax in roman type	Yoshua Bengio	More...				almost 17 years ago
trying to clarify some explanations	Yoshua Bengio	More...				almost 17 years ago
removed unnecessary cast of learning rate into numpy array	Yoshua Bengio	More...				almost 17 years ago
added link to CNN tutorial from front page	Guillaume Desjardins	More...				almost 17 years ago
almost done convolutional net tutorial	Guillaume Desjardins	More...				almost 17 years ago
Merge branch 'master' of [email protected]:lisa-lab/DeepLearningTutorials	Razvan Pascanu	More...				almost 17 years ago
Fixed a few bugs and defined a SdA with variable size	Razvan Pascanu	More...				almost 17 years ago
typo... and testing smth	Dumitru Erhan	More...				almost 17 years ago
Merge branch 'master' of [email protected]:lisa-lab/DeepLearningTutorials	Dumitru Erhan	More...				almost 17 years ago
formatting fixes	Dumitru Erhan	More...				almost 17 years ago
latest updates to convolutional code keep track of best iteration in MLP tutorial	Guillaume Desjardins	More...				almost 17 years ago
added links to tips section	James Bergstra	More...				almost 17 years ago
Merge branch 'master' of [email protected]:lisa-lab/DeepLearningTutorials	James Bergstra	More...				almost 17 years ago
added tips section to gettingstarted	James Bergstra	More...				almost 17 years ago
dae.py was replaced by SdA.py	Razvan Pascanu	More...				almost 17 years ago
SdA.py implements a stacked de-noising autoencoder in the tutorial style. I think DBN/SdA are a bit different from the rest, so if anybody has the time to read through it and give some feedback I would appreciate it; One choice that I made was to fix the number of layers and not use any sort of looping over the layers [ I thought it makes things clearer but also longer .. comments ? should I use a for loop ? ]; Another thing was that I tried to stick to the same names for variables as in the paper on SdA but these names are not always obvious (for example the hidden layer is named y) [ should I change this and name the variable hidden ?]	Razvan Pascanu	More...				almost 17 years ago
Merge branch 'master' of [email protected]:lisa-lab/DeepLearningTutorials	Guillaume Desjardins	More...				almost 17 years ago
wrote ConvOp description for conv. neural nets	Guillaume Desjardins	More...				almost 17 years ago
link to cg code	Dumitru Erhan	More...				almost 17 years ago
Merge branch 'master' of [email protected]:lisa-lab/DeepLearningTutorials	Dumitru Erhan	More...				almost 17 years ago
added link to the code, fixed links to theano docs	Dumitru Erhan	More...				almost 17 years ago
added link to the code, fixed links to theano docs	Dumitru Erhan	More...				almost 17 years ago
I redone the tests and updated final scores and how long they run	Razvan Pascanu	More...				almost 17 years ago
I added a index.txt such that a index.html is generated, so that apache knows which is the starting page	Razvan Pascanu	More...				almost 17 years ago
new changes to CNN	Guillaume Desjardins	More...				almost 17 years ago
Merge branch 'master' of [email protected]:lisa-lab/DeepLearningTutorials	Guillaume Desjardins	More...				almost 17 years ago
Change 'T.sum' to 'T.mean' in computations of NLL, change the documentation accordingly	Pascal Lamblin	More...				almost 17 years ago

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