echen / restricted-boltzmann-machines Goto Github PK
View Code? Open in Web Editor NEWRestricted Boltzmann Machines in Python.
Home Page: http://blog.echen.me/2011/07/18/introduction-to-restricted-boltzmann-machines/
License: MIT License
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dxgod voomer honglang yongsun vgoklani ywdong cojito shawcsn liyanghua timedcy irwenqiang buptsun adkatrit nkgwtknr wanji marcus-old musfiqsazal volkancirik dkleyla freedomljc2 willsons7 xjzhou tiagotrigger meng-li imlj usuallycwdillon ahmed26 ageek hitalex jkarttunen gdur danielhauagge shafiahmed hestendelin spacebat priyankt68 dior222 cherler ericchanbd qiugen vingorilla renaud robert-ko hishnue wavelets arkb vi iveney smalliao nickabboud easonchan1213 ike-okonkwo yrge chemccandless gucasbrg longhopefor atbrox memkite domarp ixaxaar gofrendiasgard dimitris0mg ninnazheng dbalchev pharrell90 samyoung17 hhamin lizeng124 chaceyoung dmvprojectfstf keeganhines darkseed ssbk1234 aemrepo wenzheli urwithajit9 grodrigues3 drmingle scarpdiem srivignessh jackwangyang echohenry2006 enjoyhacking jyt109 kalyanp freedomljc xieyanfu lengerfulluse chrismoulton pingtt lenovor fmassoud123 karthiknrao milesqli njuhugn zbxzc35 csthakur buckeyedm youngger hhh920406restricted-boltzmann-machines's Issues
How to save the result model ?
Error in _logistic()
During training, the iPython console raised the following error:
in _logistic return 1.0 / (1 + np.exp(-x)) AttributeError: 'float' object has no attribute 'exp'
It appears as if np was somehow redefined to a float. However, after that error, when I tried using numpy, np was still defined as the numpy module.
What could have redefined the variable?
License
What is the license of this code?
A minor bug
The self.weight[0][0] should always be 0, and the bias unit in visual and hidden vectors should always be 1.
Can I collaborate with you on this project, I can help make some improvements like weight decay, mini-batch and persistent CD training.
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