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35 Open 119 Closed
35 Open 119 Closed
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Issues list

[question] How is M computed in wasserstein layer?
#257 opened May 1, 2021 by kirk86
4
Cannot instal Mocha on Julia 1.02
#252 opened Nov 13, 2018 by BoianAlexandrov
4
Package compatibility caps
#251 opened Sep 23, 2018 by KZiemian
Error building Mocha in Julia v1.0
#250 opened Sep 12, 2018 by dshutopy
1
Failed to precompile Mocha when i "using Mocha"
#249 opened Sep 3, 2018 by ghost
3
Creating HDF5 Data Layer
#247 opened Mar 27, 2018 by ghost
Multi-class architecture
#243 opened Dec 19, 2017 by alemelis
Using Adam in Convolutional context
#242 opened Nov 27, 2017 by colbec
PoolingLayer without pad
#232 opened May 13, 2017 by jakabemese
2
ERROR: TypeError: read_refs: in typeassert, expected Array{Array{T,N},1}, got Array{Array{T,N},1}
#229 opened Apr 12, 2017 by dryden3
5
Faster predection
#228 opened Apr 11, 2017 by dryden3
3
List of possible contributions
#227 opened Mar 22, 2017 by RichardoC
Training Mocha Networks on AWS
#220 opened Oct 28, 2016 by zacsketches
3
[g++: error: libgomp.spec: No such file or directory] shows while run Pkg.add("Mocha")
#215 opened Oct 12, 2016 by Zhangyanbo
4
Mocha tests for julia v0.5
#213 opened Sep 22, 2016 by pnth
9
What is MultinomialLogisticLossLayer for, since it doesn't support Backprop
#209 opened Aug 12, 2016 by davidparks21
4
plot_statistics.jl doens't work from a windows environment
#201 opened May 19, 2016 by davidparks21
1
Cuda exception
#199 opened May 6, 2016 by simsim314
3
Applying to real-valued target outputs
#197 opened Apr 26, 2016 by hpoit
4
ERROR: Cannot access file model/ilsvrc12_mean.hdf5
#196 opened Apr 26, 2016 by memoiry
1
InexactError when training "LeNet" on 1d image data
#190 opened Apr 5, 2016 by cinvro
10
Training LeNet on MNIST
#188 opened Mar 26, 2016 by hpoit
12
Feature request: force_backward option, backward for bottom layers
#165 opened Nov 30, 2015 by NOTtheMessiah
Mocha Theano integration
#153 opened Oct 9, 2015 by benmoran
2
About julia files in examples - overfitting
#144 opened Oct 6, 2015 by jskDr
2
ProTip! Exclude everything labeled bug with -label:bug.