DeepNet 0.3.0.686-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There is a newer version of this package available.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 0.3.0.686-master
dotnet add package DeepNet --version 0.3.0.686-master
paket add DeepNet --version 0.3.0.686-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 200 9/1/2017
0.3.0.711-master 163 9/1/2017
0.3.0.710-master 154 9/1/2017
0.3.0.709-master 162 8/31/2017
0.3.0.708-master 158 8/30/2017
0.3.0.707-master 157 8/30/2017
0.3.0.706-master 178 8/30/2017
0.3.0.701-master 189 6/26/2017
0.3.0.700-master 183 6/22/2017
0.3.0.699-master 183 6/22/2017
0.3.0.698-master 185 6/21/2017
0.3.0.697-master 184 6/21/2017
0.3.0.696-master 184 6/21/2017
0.3.0.695-master 185 6/21/2017
0.3.0.694-master 183 6/21/2017
0.3.0.693-master 204 6/20/2017
0.3.0.692-master 186 6/19/2017
0.3.0.691-master 261 6/19/2017
0.3.0.690-master 186 6/19/2017
0.3.0.689-master 193 5/14/2017
0.3.0.688 377 5/14/2017
0.3.0.686-master 189 5/14/2017
0.2.0.591-master 198 4/19/2017
0.2.0.565-master 212 4/11/2017
0.2.0.556-master 195 3/21/2017
0.2.0.551-master 204 3/17/2017
0.2.0.540-master 192 3/15/2017
0.2.0.536-master 189 3/14/2017
0.2.0.519-master 191 3/2/2017
0.2.0.516-master 187 3/2/2017
0.2.0.499-master 200 2/13/2017
0.2.0.494-master 218 2/7/2017
0.2.0.479-master 216 2/1/2017
0.2.0.463-master 220 1/17/2017
0.2.0.431-master 229 12/2/2016
0.2.0.422-master 211 11/9/2016
0.2.0.421-master 207 11/9/2016
0.2.0.411-master 242 10/26/2016
0.2.0.400-master 203 10/26/2016
0.2.0.394-master 211 10/25/2016
0.2.0.382-master 221 10/21/2016
0.2.0.377-master 271 10/20/2016
0.2.0.323-master 202 10/11/2016
0.2.0.262-master 206 9/29/2016
0.2.0.248-master 213 9/27/2016
0.2.0.174-master 217 9/16/2016
0.2.0.128-master 215 9/8/2016
0.2.0.122-master 221 9/8/2016
0.2.0.121-master 209 9/7/2016
0.2.0.111-master 210 9/7/2016
0.2.0.105-ci 209 9/5/2016
0.2.0.97-ci 218 8/30/2016
0.2.0.96-ci 219 8/29/2016
0.2.0.90-ci 222 8/25/2016
0.2.0.89-ci 211 8/24/2016
0.2.0.88-ci 210 8/24/2016
0.2.0.87-ci 214 8/24/2016
0.2.0.86-ci 209 8/23/2016
0.2.0.85-ci 211 8/22/2016
0.2.0.84-ci 212 8/22/2016
0.2.0.83-ci 213 8/22/2016
0.2.0.82 287 8/22/2016
0.2.0.81-ci 213 8/19/2016
0.2.0.80-ci 235 6/27/2016
0.2.0.79-ci 232 6/27/2016
0.2.0.77-ci 227 6/22/2016
0.2.0.76-ci 222 6/22/2016
0.2.0.75 253 6/15/2016
0.2.0.74-ci 222 6/15/2016
0.2.0.73 238 6/15/2016
0.2.0.72 234 6/15/2016
0.2.0.71 235 6/14/2016
0.2.0.70 259 6/9/2016
0.2.0.69 242 6/9/2016
0.2.0.68 237 6/9/2016
0.2.0.67 235 6/8/2016
0.2.0.66-ci 221 6/8/2016
0.2.0.65-ci 224 6/8/2016
0.2.0.64-ci 247 6/8/2016
0.2.0.63-ci 229 6/7/2016
0.2.0.62 232 6/7/2016
0.2.0.61 235 6/6/2016
0.2.0.60 224 6/6/2016
0.2.0.59 228 6/6/2016
0.2.0.57 272 6/3/2016
0.2.0.56 256 6/3/2016
0.2.0.55 229 6/3/2016
0.2.0.54 229 6/3/2016
0.2.0.53 230 6/3/2016
0.2.0.52-ci 234 6/2/2016
0.2.0.51-ci 222 6/2/2016
0.2.0.50-ci 228 6/2/2016
0.2.0.49 232 5/31/2016
0.2.0.48-ci 225 5/31/2016
0.2.0.46-ci 223 5/31/2016
0.2.0.45 230 5/31/2016
0.2.0.44 228 5/31/2016
0.2.0.43 229 5/31/2016
0.2.0.42 237 5/30/2016
0.2.0.41 236 5/30/2016
0.2.0.40 240 5/30/2016
0.2.0.39 231 5/30/2016
0.2.0.38 227 5/30/2016
0.2.0.37 229 5/30/2016
0.2.0.36 275 5/25/2016
0.2.0.35 233 5/24/2016
0.2.0.34 273 5/24/2016
0.2.0.33 228 5/24/2016
0.2.0.32-ci 249 5/24/2016
0.1.26-ci 225 5/24/2016
0.1.24-ci 219 5/24/2016
0.1.19-ci 246 5/24/2016
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