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There is a newer version of this package available.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.
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.
Dependencies
-
- FSharp.Compiler.Service (>= 3.0.0)
- FsPickler.Json (>= 2.1.0)
- ManagedCuda-75-x64 (>= 7.5.7)
- Newtonsoft.Json (>= 8.0.3)
- Tensor (>= 0.2.0.35)
Version History
Version | Downloads | Last updated | |
---|---|---|---|
0.3.0.712-master | 174 | 9/1/2017 | |
0.3.0.711-master | 144 | 9/1/2017 | |
0.3.0.710-master | 135 | 9/1/2017 | |
0.3.0.709-master | 137 | 8/31/2017 | |
0.3.0.708-master | 138 | 8/30/2017 | |
0.3.0.707-master | 137 | 8/30/2017 | |
0.3.0.706-master | 158 | 8/30/2017 | |
0.3.0.701-master | 169 | 6/26/2017 | |
0.3.0.700-master | 163 | 6/22/2017 | |
0.3.0.699-master | 163 | 6/22/2017 | |
0.3.0.698-master | 164 | 6/21/2017 | |
0.3.0.697-master | 165 | 6/21/2017 | |
0.3.0.696-master | 162 | 6/21/2017 | |
0.3.0.695-master | 165 | 6/21/2017 | |
0.3.0.694-master | 164 | 6/21/2017 | |
0.3.0.693-master | 184 | 6/20/2017 | |
0.3.0.692-master | 166 | 6/19/2017 | |
0.3.0.691-master | 242 | 6/19/2017 | |
0.3.0.690-master | 166 | 6/19/2017 | |
0.3.0.689-master | 173 | 5/14/2017 | |
0.3.0.688 | 359 | 5/14/2017 | |
0.3.0.686-master | 170 | 5/14/2017 | |
0.2.0.591-master | 177 | 4/19/2017 | |
0.2.0.565-master | 195 | 4/11/2017 | |
0.2.0.556-master | 174 | 3/21/2017 | |
0.2.0.551-master | 183 | 3/17/2017 | |
0.2.0.540-master | 172 | 3/15/2017 | |
0.2.0.536-master | 168 | 3/14/2017 | |
0.2.0.519-master | 170 | 3/2/2017 | |
0.2.0.516-master | 166 | 3/2/2017 | |
0.2.0.499-master | 179 | 2/13/2017 | |
0.2.0.494-master | 194 | 2/7/2017 | |
0.2.0.479-master | 192 | 2/1/2017 | |
0.2.0.463-master | 197 | 1/17/2017 | |
0.2.0.431-master | 205 | 12/2/2016 | |
0.2.0.422-master | 189 | 11/9/2016 | |
0.2.0.421-master | 185 | 11/9/2016 | |
0.2.0.411-master | 220 | 10/26/2016 | |
0.2.0.400-master | 181 | 10/26/2016 | |
0.2.0.394-master | 189 | 10/25/2016 | |
0.2.0.382-master | 196 | 10/21/2016 | |
0.2.0.377-master | 249 | 10/20/2016 | |
0.2.0.323-master | 184 | 10/11/2016 | |
0.2.0.262-master | 188 | 9/29/2016 | |
0.2.0.248-master | 195 | 9/27/2016 | |
0.2.0.174-master | 195 | 9/16/2016 | |
0.2.0.128-master | 193 | 9/8/2016 | |
0.2.0.122-master | 200 | 9/8/2016 | |
0.2.0.121-master | 187 | 9/7/2016 | |
0.2.0.111-master | 188 | 9/7/2016 | |
0.2.0.105-ci | 187 | 9/5/2016 | |
0.2.0.97-ci | 196 | 8/30/2016 | |
0.2.0.96-ci | 197 | 8/29/2016 | |
0.2.0.90-ci | 200 | 8/25/2016 | |
0.2.0.89-ci | 190 | 8/24/2016 | |
0.2.0.88-ci | 191 | 8/24/2016 | |
0.2.0.87-ci | 196 | 8/24/2016 | |
0.2.0.86-ci | 191 | 8/23/2016 | |
0.2.0.85-ci | 193 | 8/22/2016 | |
0.2.0.84-ci | 193 | 8/22/2016 | |
0.2.0.83-ci | 195 | 8/22/2016 | |
0.2.0.82 | 269 | 8/22/2016 | |
0.2.0.81-ci | 194 | 8/19/2016 | |
0.2.0.80-ci | 217 | 6/27/2016 | |
0.2.0.79-ci | 213 | 6/27/2016 | |
0.2.0.77-ci | 209 | 6/22/2016 | |
0.2.0.76-ci | 204 | 6/22/2016 | |
0.2.0.75 | 235 | 6/15/2016 | |
0.2.0.74-ci | 204 | 6/15/2016 | |
0.2.0.73 | 220 | 6/15/2016 | |
0.2.0.72 | 216 | 6/15/2016 | |
0.2.0.71 | 217 | 6/14/2016 | |
0.2.0.70 | 237 | 6/9/2016 | |
0.2.0.69 | 220 | 6/9/2016 | |
0.2.0.68 | 215 | 6/9/2016 | |
0.2.0.67 | 213 | 6/8/2016 | |
0.2.0.66-ci | 199 | 6/8/2016 | |
0.2.0.65-ci | 201 | 6/8/2016 | |
0.2.0.64-ci | 224 | 6/8/2016 | |
0.2.0.63-ci | 206 | 6/7/2016 | |
0.2.0.62 | 210 | 6/7/2016 | |
0.2.0.61 | 213 | 6/6/2016 | |
0.2.0.60 | 202 | 6/6/2016 | |
0.2.0.59 | 206 | 6/6/2016 | |
0.2.0.57 | 250 | 6/3/2016 | |
0.2.0.56 | 234 | 6/3/2016 | |
0.2.0.55 | 207 | 6/3/2016 | |
0.2.0.54 | 207 | 6/3/2016 | |
0.2.0.53 | 208 | 6/3/2016 | |
0.2.0.52-ci | 216 | 6/2/2016 | |
0.2.0.51-ci | 200 | 6/2/2016 | |
0.2.0.50-ci | 206 | 6/2/2016 | |
0.2.0.49 | 210 | 5/31/2016 | |
0.2.0.48-ci | 203 | 5/31/2016 | |
0.2.0.46-ci | 201 | 5/31/2016 | |
0.2.0.45 | 208 | 5/31/2016 | |
0.2.0.44 | 206 | 5/31/2016 | |
0.2.0.43 | 206 | 5/31/2016 | |
0.2.0.42 | 216 | 5/30/2016 | |
0.2.0.41 | 214 | 5/30/2016 | |
0.2.0.40 | 217 | 5/30/2016 | |
0.2.0.39 | 209 | 5/30/2016 | |
0.2.0.38 | 205 | 5/30/2016 | |
0.2.0.37 | 207 | 5/30/2016 | |
0.2.0.36 | 253 | 5/25/2016 | |
0.2.0.35 | 211 | 5/24/2016 | |
0.2.0.34 | 251 | 5/24/2016 | |
0.2.0.33 | 206 | 5/24/2016 | |
0.2.0.32-ci | 227 | 5/24/2016 | |
0.1.26-ci | 202 | 5/24/2016 | |
0.1.24-ci | 197 | 5/24/2016 | |
0.1.19-ci | 228 | 5/24/2016 |