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#128RafaelCyberSistemas opened May 22, 2026
Fourier features
#124UPstartDeveloper opened Jan 7, 2023
1
Update rldemo.js
#123realrandolph opened Oct 1, 2022
1
docs: Fix simple typo, nnonlinearity -> nonlinearity
#118timgates42 opened Sep 2, 2020
#109 Use network's first layer's shape to create input Vol
#110soswow opened Mar 24, 2019
Allow specific input shape
#99doomedramen opened Mar 5, 2018
3
fix for uploading image in mnist demo
#96KaeyangTheG opened Jan 25, 2018
gitignore convnet output files
#94KaeyangTheG opened Jan 20, 2018
Prevent Regression Layer from being NaN
#93thomaswmanion opened Dec 30, 2017
Fixed typo in comment
#88kenfehling opened Jul 9, 2017
Allow to work in non-browser env
#85cpansprout opened Jun 3, 2017
8
Fixed two bugs
#81ychervonyi opened Jan 15, 2017
Inverted colors
#75Pascal66 opened Sep 26, 2016
Code cleanup
#71JanHalozan opened Aug 20, 2016
Fix adam optimizer
#70janhuenermann opened Aug 4, 2016
1
Fixed LRN layer
#69chaosmail opened Aug 1, 2016
optimize for v8
#68nakosung opened Jul 18, 2016
1
basic demo added
#67qcgm1978 opened May 30, 2016
fix dropout prob
#61avdmitry opened Jan 24, 2016
2
fix deepqlearn nodejs dep; precompiled
#60kengz opened Dec 28, 2015
use hash to improve speed of arrUnique function
#58hammeiam opened Dec 10, 2015
Fixed typographical error, changed arbitary to arbitrary in README.
#52orthographic-pedant opened Sep 30, 2015
[ConvNetJS] Implement DropConnect for regularizing large fully-connected layers
#3ajtulloch opened Apr 19, 2014