modern-fortran neural-fortran issues

modern-fortran / neural-fortran

A parallel framework for deep learning

MIT License

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issues

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Update for cmake use of neural-fortran

#192 mathomp4 closed 2 months ago
8
Compile with LFortran

#191 milancurcic opened 2 months ago
0
Standard conformance fixes

#190 milancurcic closed 2 months ago
0
Polymorphic allocatables in results of pure functions

#189 milancurcic closed 2 months ago
0
Remove Keras HDF5

#188 milancurcic closed 2 months ago
0
Make HDF5 optional under CMake

#187 milancurcic closed 2 months ago
2
Make HDF5 optional

#186 milancurcic closed 2 months ago
1
please test with flang

#185 jeffhammond closed 2 months ago
3
Mv optimizer from the network level to the layer level

#184 jvdp1 opened 5 months ago
0
Intrinsic `pack` replaced by pointers in `get_params` and `get_gradients`

#183 jvdp1 closed 5 months ago
2
Proposition of API for the method `network % evaluate`

#182 jvdp1 closed 5 months ago
7
Replacement of a matmul + use of merge

#181 jvdp1 closed 6 months ago
4
Remove some unused variables and a broadcast

#180 jvdp1 closed 5 months ago
0
Support of a method `network % evaluate`

#179 jvdp1 opened 7 months ago
5
Addidtion of Findneural-fortran.cmake

#178 jvdp1 closed 7 months ago
1
Add topics `deep-learning`, `cnn`

#177 Beliavsky closed 7 months ago
1
Introduce a separate `network % compile()` step

#176 milancurcic opened 7 months ago
0
Addition of the Loss derived type and of the MSE loss function

#175 jvdp1 closed 7 months ago
5
More conv2d tests

#174 milancurcic closed 7 months ago
0
Addition of the MSE loss function

#173 jvdp1 closed 7 months ago
4
Add instructions using Conda

#172 certik closed 7 months ago
1
Implement locally connected layer (1-d)

#171 milancurcic opened 8 months ago
0
Implement dropout layer

#170 milancurcic opened 8 months ago
0
Start-to-finish example

#169 OsAmaro opened 9 months ago
1
Supported HDF5 version

#168 aminiussi closed 2 months ago
8
Test failure with ifx

#167 aminiussi opened 11 months ago
6
Building client code with CMake

#166 aminiussi closed 7 months ago
6
scaling

#165 castelao opened 1 year ago
2
Implementing basic RNN

#162 castelao opened 1 year ago
6
Some tests and examples fail with segmentation fault in serial production build, but not in debug build

#160 asandrock opened 1 year ago
1
safegaurd Box-Muller normal random number generation against u=0.0

#158 dacarnazzola closed 1 year ago
10
Added Batch Normalization Layer modules

#157 Spnetic-5 opened 1 year ago
7
Refactor `forward` and `backward` methods to allow passing a batch of data instead of one sample at a time

#156 milancurcic opened 1 year ago
0
Implement `batchnorm` layer

#155 milancurcic opened 1 year ago
0
Adagrad Optimizer Implementation

#154 Spnetic-5 closed 1 year ago
1
Adagrad Optimizer Implementation

#153 Spnetic-5 closed 1 year ago
0
Question about the decoupled weight decay in Adam

#152 milancurcic closed 1 year ago
2
Initializers stub

#151 milancurcic opened 1 year ago
0
Added Adam optimizer implementation

#150 Spnetic-5 closed 1 year ago
4
v0.13.0 release

#149 milancurcic closed 1 year ago
5
Added Momentum and Nesterov modifications

#148 Spnetic-5 closed 1 year ago
13
Error while building in latest main

#147 Spnetic-5 closed 1 year ago
1
could it be used for subrountine in FEM softwore ABAQUS

#146 ZPLai opened 1 year ago
3
CNN training on MNIST does not converge

#145 milancurcic opened 1 year ago
3
Added RMSProp Optimizer subroutine

#144 Spnetic-5 closed 1 year ago
5
add CELU activation function

#143 pablomazo closed 1 year ago
0
Connect `flatten`, `conv2d`, and `maxpool2d` layers in backward pass

#142 milancurcic closed 1 year ago
2
Add missing update for `conv2d_layer`

#141 milancurcic closed 1 year ago
1
Example program that shows how to access internal layer parameters

#140 milancurcic closed 1 year ago
1
SGD optimizer stub

#139 milancurcic closed 1 year ago
2