DeepNet 0.3.0.706-master
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 prerelease version of this package available.
See the version list below for details.
See the version list below for details.
Install-Package DeepNet -Version 0.3.0.706-master
dotnet add package DeepNet --version 0.3.0.706-master
<PackageReference Include="DeepNet" Version="0.3.0.706-master" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add DeepNet --version 0.3.0.706-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 (>= 0.3.0.706)
Used By
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.
Version History
| Version | Downloads | Last updated | ||
|---|---|---|---|---|
| 0.3.0.712-master | 481 | 9/1/2017 | ||
| 0.3.0.711-master | 333 | 9/1/2017 | ||
| 0.3.0.710-master | 310 | 9/1/2017 | ||
| 0.3.0.709-master | 337 | 8/31/2017 | ||
| 0.3.0.708-master | 316 | 8/30/2017 | ||
| 0.3.0.707-master | 317 | 8/30/2017 | ||
| 0.3.0.706-master | 353 | 8/30/2017 | ||
| 0.3.0.701-master | 384 | 6/26/2017 | ||
| 0.3.0.700-master | 335 | 6/22/2017 | ||
| 0.3.0.699-master | 358 | 6/22/2017 | ||
| 0.3.0.698-master | 342 | 6/21/2017 | ||
| 0.3.0.697-master | 344 | 6/21/2017 | ||
| 0.3.0.696-master | 378 | 6/21/2017 | ||
| 0.3.0.695-master | 338 | 6/21/2017 | ||
| 0.3.0.694-master | 354 | 6/21/2017 | ||
| 0.3.0.693-master | 369 | 6/20/2017 | ||
| 0.3.0.692-master | 324 | 6/19/2017 | ||
| 0.3.0.691-master | 418 | 6/19/2017 | ||
| 0.3.0.690-master | 339 | 6/19/2017 | ||
| 0.3.0.689-master | 358 | 5/14/2017 | ||
| 0.3.0.688 | 594 | 5/14/2017 | ||
| 0.3.0.686-master | 340 | 5/14/2017 | ||
| 0.2.0.591-master | 349 | 4/19/2017 | ||
| 0.2.0.565-master | 370 | 4/11/2017 | ||
| 0.2.0.556-master | 388 | 3/21/2017 | ||
| 0.2.0.551-master | 401 | 3/17/2017 | ||
| 0.2.0.540-master | 358 | 3/15/2017 | ||
| 0.2.0.536-master | 360 | 3/14/2017 | ||
| 0.2.0.519-master | 347 | 3/2/2017 | ||
| 0.2.0.516-master | 342 | 3/2/2017 | ||
| 0.2.0.499-master | 372 | 2/13/2017 | ||
| 0.2.0.494-master | 380 | 2/7/2017 | ||
| 0.2.0.479-master | 422 | 2/1/2017 | ||
| 0.2.0.463-master | 414 | 1/17/2017 | ||
| 0.2.0.431-master | 424 | 12/2/2016 | ||
| 0.2.0.422-master | 381 | 11/9/2016 | ||
| 0.2.0.421-master | 380 | 11/9/2016 | ||
| 0.2.0.411-master | 422 | 10/26/2016 | ||
| 0.2.0.400-master | 368 | 10/26/2016 | ||
| 0.2.0.394-master | 386 | 10/25/2016 | ||
| 0.2.0.382-master | 420 | 10/21/2016 | ||
| 0.2.0.377-master | 460 | 10/20/2016 | ||
| 0.2.0.323-master | 385 | 10/11/2016 | ||
| 0.2.0.262-master | 373 | 9/29/2016 | ||
| 0.2.0.248-master | 383 | 9/27/2016 | ||
| 0.2.0.174-master | 387 | 9/16/2016 | ||
| 0.2.0.128-master | 393 | 9/8/2016 | ||
| 0.2.0.122-master | 392 | 9/8/2016 | ||
| 0.2.0.121-master | 379 | 9/7/2016 | ||
| 0.2.0.111-master | 393 | 9/7/2016 | ||
| 0.2.0.105-ci | 364 | 9/5/2016 | ||
| 0.2.0.97-ci | 394 | 8/30/2016 | ||
| 0.2.0.96-ci | 376 | 8/29/2016 | ||
| 0.2.0.90-ci | 401 | 8/25/2016 | ||
| 0.2.0.89-ci | 395 | 8/24/2016 | ||
| 0.2.0.88-ci | 385 | 8/24/2016 | ||
| 0.2.0.87-ci | 408 | 8/24/2016 | ||
| 0.2.0.86-ci | 371 | 8/23/2016 | ||
| 0.2.0.85-ci | 390 | 8/22/2016 | ||
| 0.2.0.84-ci | 374 | 8/22/2016 | ||
| 0.2.0.83-ci | 388 | 8/22/2016 | ||
| 0.2.0.82 | 448 | 8/22/2016 | ||
| 0.2.0.81-ci | 392 | 8/19/2016 | ||
| 0.2.0.80-ci | 393 | 6/27/2016 | ||
| 0.2.0.79-ci | 402 | 6/27/2016 | ||
| 0.2.0.77-ci | 411 | 6/22/2016 | ||
| 0.2.0.76-ci | 382 | 6/22/2016 | ||
| 0.2.0.75 | 430 | 6/15/2016 | ||
| 0.2.0.74-ci | 393 | 6/15/2016 | ||
| 0.2.0.73 | 428 | 6/15/2016 | ||
| 0.2.0.72 | 398 | 6/15/2016 | ||
| 0.2.0.71 | 416 | 6/14/2016 | ||
| 0.2.0.70 | 410 | 6/9/2016 | ||
| 0.2.0.69 | 409 | 6/9/2016 | ||
| 0.2.0.68 | 404 | 6/9/2016 | ||
| 0.2.0.67 | 404 | 6/8/2016 | ||
| 0.2.0.66-ci | 406 | 6/8/2016 | ||
| 0.2.0.65-ci | 404 | 6/8/2016 | ||
| 0.2.0.64-ci | 420 | 6/8/2016 | ||
| 0.2.0.63-ci | 398 | 6/7/2016 | ||
| 0.2.0.62 | 387 | 6/7/2016 | ||
| 0.2.0.61 | 403 | 6/6/2016 | ||
| 0.2.0.60 | 401 | 6/6/2016 | ||
| 0.2.0.59 | 387 | 6/6/2016 | ||
| 0.2.0.57 | 441 | 6/3/2016 | ||
| 0.2.0.56 | 412 | 6/3/2016 | ||
| 0.2.0.55 | 394 | 6/3/2016 | ||
| 0.2.0.54 | 402 | 6/3/2016 | ||
| 0.2.0.53 | 398 | 6/3/2016 | ||
| 0.2.0.52-ci | 385 | 6/2/2016 | ||
| 0.2.0.51-ci | 397 | 6/2/2016 | ||
| 0.2.0.50-ci | 394 | 6/2/2016 | ||
| 0.2.0.49 | 407 | 5/31/2016 | ||
| 0.2.0.48-ci | 394 | 5/31/2016 | ||
| 0.2.0.46-ci | 397 | 5/31/2016 | ||
| 0.2.0.45 | 398 | 5/31/2016 | ||
| 0.2.0.44 | 405 | 5/31/2016 | ||
| 0.2.0.43 | 404 | 5/31/2016 | ||
| 0.2.0.42 | 420 | 5/30/2016 | ||
| 0.2.0.41 | 431 | 5/30/2016 | ||
| 0.2.0.40 | 422 | 5/30/2016 | ||
| 0.2.0.39 | 410 | 5/30/2016 | ||
| 0.2.0.38 | 402 | 5/30/2016 | ||
| 0.2.0.37 | 404 | 5/30/2016 | ||
| 0.2.0.36 | 451 | 5/25/2016 | ||
| 0.2.0.35 | 404 | 5/24/2016 | ||
| 0.2.0.34 | 453 | 5/24/2016 | ||
| 0.2.0.33 | 438 | 5/24/2016 | ||
| 0.2.0.32-ci | 427 | 5/24/2016 | ||
| 0.1.26-ci | 396 | 5/24/2016 | ||
| 0.1.24-ci | 374 | 5/24/2016 | ||
| 0.1.19-ci | 421 | 5/24/2016 |
