DeepNet 0.3.0.712-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.
Install-Package DeepNet -Version 0.3.0.712-master
dotnet add package DeepNet --version 0.3.0.712-master
paket add DeepNet --version 0.3.0.712-master
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)
- FSharp.Data (>= 2.3.2)
- FsPickler.Json (>= 2.1.0)
- ManagedCuda-CUBLAS (>= 8.0.13)
- ManagedCuda-NVRTC (>= 8.0.13)
- Newtonsoft.Json (>= 8.0.3)
- Tensor (>= 0.3.0.712)
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 |