DeepNet 0.2.0.519-master

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.

This is a prerelease version of DeepNet.
There is a newer version of this package available.
See the version list below for details.
Install-Package DeepNet -Version 0.2.0.519-master
dotnet add package DeepNet --version 0.2.0.519-master
paket add DeepNet --version 0.2.0.519-master
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 136 9/1/2017
0.3.0.711-master 110 9/1/2017
0.3.0.710-master 109 9/1/2017
0.3.0.709-master 113 8/31/2017
0.3.0.708-master 111 8/30/2017
0.3.0.707-master 111 8/30/2017
0.3.0.706-master 111 8/30/2017
0.3.0.701-master 143 6/26/2017
0.3.0.700-master 137 6/22/2017
0.3.0.699-master 137 6/22/2017
0.3.0.698-master 138 6/21/2017
0.3.0.697-master 138 6/21/2017
0.3.0.696-master 136 6/21/2017
0.3.0.695-master 139 6/21/2017
0.3.0.694-master 137 6/21/2017
0.3.0.693-master 144 6/20/2017
0.3.0.692-master 140 6/19/2017
0.3.0.691-master 140 6/19/2017
0.3.0.690-master 140 6/19/2017
0.3.0.689-master 141 5/14/2017
0.3.0.688 288 5/14/2017
0.3.0.686-master 139 5/14/2017
0.2.0.591-master 143 4/19/2017
0.2.0.565-master 146 4/11/2017
0.2.0.556-master 144 3/21/2017
0.2.0.551-master 157 3/17/2017
0.2.0.540-master 142 3/15/2017
0.2.0.536-master 142 3/14/2017
0.2.0.519-master 144 3/2/2017
0.2.0.516-master 140 3/2/2017
0.2.0.499-master 153 2/13/2017
0.2.0.494-master 144 2/7/2017
0.2.0.479-master 166 2/1/2017
0.2.0.463-master 170 1/17/2017
0.2.0.431-master 179 12/2/2016
0.2.0.422-master 164 11/9/2016
0.2.0.421-master 158 11/9/2016
0.2.0.411-master 194 10/26/2016
0.2.0.400-master 155 10/26/2016
0.2.0.394-master 163 10/25/2016
0.2.0.382-master 158 10/21/2016
0.2.0.377-master 159 10/20/2016
0.2.0.323-master 155 10/11/2016
0.2.0.262-master 159 9/29/2016
0.2.0.248-master 159 9/27/2016
0.2.0.174-master 165 9/16/2016
0.2.0.128-master 161 9/8/2016
0.2.0.122-master 163 9/8/2016
0.2.0.121-master 161 9/7/2016
0.2.0.111-master 160 9/7/2016
0.2.0.105-ci 161 9/5/2016
0.2.0.97-ci 162 8/30/2016
0.2.0.96-ci 159 8/29/2016
0.2.0.90-ci 160 8/25/2016
0.2.0.89-ci 163 8/24/2016
0.2.0.88-ci 162 8/24/2016
0.2.0.87-ci 163 8/24/2016
0.2.0.86-ci 162 8/23/2016
0.2.0.85-ci 163 8/22/2016
0.2.0.84-ci 161 8/22/2016
0.2.0.83-ci 165 8/22/2016
0.2.0.82 239 8/22/2016
0.2.0.81-ci 165 8/19/2016
0.2.0.80-ci 177 6/27/2016
0.2.0.79-ci 173 6/27/2016
0.2.0.77-ci 177 6/22/2016
0.2.0.76-ci 174 6/22/2016
0.2.0.75 205 6/15/2016
0.2.0.74-ci 175 6/15/2016
0.2.0.73 191 6/15/2016
0.2.0.72 187 6/15/2016
0.2.0.71 188 6/14/2016
0.2.0.70 211 6/9/2016
0.2.0.69 182 6/9/2016
0.2.0.68 185 6/9/2016
0.2.0.67 187 6/8/2016
0.2.0.66-ci 173 6/8/2016
0.2.0.65-ci 175 6/8/2016
0.2.0.64-ci 178 6/8/2016
0.2.0.63-ci 180 6/7/2016
0.2.0.62 184 6/7/2016
0.2.0.61 187 6/6/2016
0.2.0.60 176 6/6/2016
0.2.0.59 180 6/6/2016
0.2.0.57 186 6/3/2016
0.2.0.56 182 6/3/2016
0.2.0.55 177 6/3/2016
0.2.0.54 181 6/3/2016
0.2.0.53 182 6/3/2016
0.2.0.52-ci 172 6/2/2016
0.2.0.51-ci 174 6/2/2016
0.2.0.50-ci 172 6/2/2016
0.2.0.49 184 5/31/2016
0.2.0.48-ci 174 5/31/2016
0.2.0.46-ci 175 5/31/2016
0.2.0.45 182 5/31/2016
0.2.0.44 178 5/31/2016
0.2.0.43 180 5/31/2016
0.2.0.42 188 5/30/2016
0.2.0.41 176 5/30/2016
0.2.0.40 179 5/30/2016
0.2.0.39 183 5/30/2016
0.2.0.38 179 5/30/2016
0.2.0.37 180 5/30/2016
0.2.0.36 181 5/25/2016
0.2.0.35 185 5/24/2016
0.2.0.34 181 5/24/2016
0.2.0.33 180 5/24/2016
0.2.0.32-ci 175 5/24/2016
0.1.26-ci 174 5/24/2016
0.1.24-ci 171 5/24/2016
0.1.19-ci 174 5/24/2016
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