DeepNet 0.2.0.35

Deep.Net

Deep learning library for F#. Provides symbolic model differentiation, automatic differentiation and compilation to CUDA GPUs. Includes optimizers and model blocks used in deep learning.

Make sure to set the platform of your project to x64.

There is a newer version of this package available.
See the version list below for details.
Install-Package DeepNet -Version 0.2.0.35
dotnet add package DeepNet --version 0.2.0.35
paket add DeepNet --version 0.2.0.35
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Release Notes

Initial release.

Version History

Version Downloads Last updated
0.3.0.712-master 134 9/1/2017
0.3.0.711-master 109 9/1/2017
0.3.0.710-master 108 9/1/2017
0.3.0.709-master 111 8/31/2017
0.3.0.708-master 110 8/30/2017
0.3.0.707-master 110 8/30/2017
0.3.0.706-master 110 8/30/2017
0.3.0.701-master 142 6/26/2017
0.3.0.700-master 136 6/22/2017
0.3.0.699-master 136 6/22/2017
0.3.0.698-master 137 6/21/2017
0.3.0.697-master 137 6/21/2017
0.3.0.696-master 135 6/21/2017
0.3.0.695-master 138 6/21/2017
0.3.0.694-master 136 6/21/2017
0.3.0.693-master 143 6/20/2017
0.3.0.692-master 139 6/19/2017
0.3.0.691-master 139 6/19/2017
0.3.0.690-master 139 6/19/2017
0.3.0.689-master 141 5/14/2017
0.3.0.688 285 5/14/2017
0.3.0.686-master 137 5/14/2017
0.2.0.591-master 142 4/19/2017
0.2.0.565-master 145 4/11/2017
0.2.0.556-master 143 3/21/2017
0.2.0.551-master 156 3/17/2017
0.2.0.540-master 140 3/15/2017
0.2.0.536-master 141 3/14/2017
0.2.0.519-master 143 3/2/2017
0.2.0.516-master 139 3/2/2017
0.2.0.499-master 152 2/13/2017
0.2.0.494-master 143 2/7/2017
0.2.0.479-master 165 2/1/2017
0.2.0.463-master 169 1/17/2017
0.2.0.431-master 178 12/2/2016
0.2.0.422-master 163 11/9/2016
0.2.0.421-master 156 11/9/2016
0.2.0.411-master 193 10/26/2016
0.2.0.400-master 154 10/26/2016
0.2.0.394-master 162 10/25/2016
0.2.0.382-master 156 10/21/2016
0.2.0.377-master 158 10/20/2016
0.2.0.323-master 154 10/11/2016
0.2.0.262-master 158 9/29/2016
0.2.0.248-master 158 9/27/2016
0.2.0.174-master 164 9/16/2016
0.2.0.128-master 160 9/8/2016
0.2.0.122-master 162 9/8/2016
0.2.0.121-master 160 9/7/2016
0.2.0.111-master 159 9/7/2016
0.2.0.105-ci 160 9/5/2016
0.2.0.97-ci 161 8/30/2016
0.2.0.96-ci 158 8/29/2016
0.2.0.90-ci 159 8/25/2016
0.2.0.89-ci 162 8/24/2016
0.2.0.88-ci 161 8/24/2016
0.2.0.87-ci 162 8/24/2016
0.2.0.86-ci 161 8/23/2016
0.2.0.85-ci 162 8/22/2016
0.2.0.84-ci 160 8/22/2016
0.2.0.83-ci 164 8/22/2016
0.2.0.82 238 8/22/2016
0.2.0.81-ci 164 8/19/2016
0.2.0.80-ci 176 6/27/2016
0.2.0.79-ci 172 6/27/2016
0.2.0.77-ci 176 6/22/2016
0.2.0.76-ci 173 6/22/2016
0.2.0.75 204 6/15/2016
0.2.0.74-ci 174 6/15/2016
0.2.0.73 190 6/15/2016
0.2.0.72 186 6/15/2016
0.2.0.71 187 6/14/2016
0.2.0.70 210 6/9/2016
0.2.0.69 181 6/9/2016
0.2.0.68 184 6/9/2016
0.2.0.67 186 6/8/2016
0.2.0.66-ci 172 6/8/2016
0.2.0.65-ci 174 6/8/2016
0.2.0.64-ci 177 6/8/2016
0.2.0.63-ci 179 6/7/2016
0.2.0.62 183 6/7/2016
0.2.0.61 186 6/6/2016
0.2.0.60 175 6/6/2016
0.2.0.59 179 6/6/2016
0.2.0.57 185 6/3/2016
0.2.0.56 181 6/3/2016
0.2.0.55 176 6/3/2016
0.2.0.54 180 6/3/2016
0.2.0.53 181 6/3/2016
0.2.0.52-ci 171 6/2/2016
0.2.0.51-ci 173 6/2/2016
0.2.0.50-ci 171 6/2/2016
0.2.0.49 183 5/31/2016
0.2.0.48-ci 173 5/31/2016
0.2.0.46-ci 174 5/31/2016
0.2.0.45 181 5/31/2016
0.2.0.44 177 5/31/2016
0.2.0.43 179 5/31/2016
0.2.0.42 187 5/30/2016
0.2.0.41 175 5/30/2016
0.2.0.40 178 5/30/2016
0.2.0.39 182 5/30/2016
0.2.0.38 178 5/30/2016
0.2.0.37 179 5/30/2016
0.2.0.36 180 5/25/2016
0.2.0.35 184 5/24/2016
0.2.0.34 180 5/24/2016
0.2.0.33 179 5/24/2016
0.2.0.32-ci 174 5/24/2016
0.1.26-ci 173 5/24/2016
0.1.24-ci 170 5/24/2016
0.1.19-ci 173 5/24/2016
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