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A neural net simulator. First attempt.
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26 MiB
C++ 97.5%
QMake 2.5%
 
 
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mandlm d4a22ecae7 Simple max(a, b) test-net without iterations 2015-10-22 16:03:10 +02:00
.gitattributes 🎊 Added .gitattributes & .gitignore files 2015-03-23 19:28:10 +01:00
.gitignore 🎊 Added .gitattributes & .gitignore files 2015-03-23 19:28:10 +01:00
Layer.cpp Fixed feed-forward algo 2015-10-22 16:02:27 +02:00
Layer.h Backprop seems to be working, yay 2015-10-18 21:20:37 +02:00
Net.cpp Implemented dynamic learning 2015-10-18 22:05:18 +02:00
Net.h Added 64-bit configuration and support 2015-10-15 22:37:13 +02:00
Neuro.cpp Simple max(a, b) test-net without iterations 2015-10-22 16:03:10 +02:00
Neuro.sln Added 64-bit configuration and support 2015-10-15 22:37:13 +02:00
Neuro.vcxproj Added 64-bit configuration and support 2015-10-15 22:37:13 +02:00
Neuro.vcxproj.filters Added README to vcxproj 2015-10-15 22:30:53 +02:00
Neuron.cpp Fixed feed-forward algo 2015-10-22 16:02:27 +02:00
Neuron.h Fixed feed-forward algo 2015-10-22 16:02:27 +02:00
README.md Added README to vcxproj 2015-10-15 22:30:53 +02:00

README.md

Neuro

This is my neural net sandbox. Mostly, I'm following David Miller's (http://www.millermattson.com/) tutorial at https://vimeo.com/19569529 while trying to wrap my brain around back-propagation, hyperplanes and life itself.