DeepNet 0.3.0.688

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 prerelease version of this package available.
See the version list below for details.
Install-Package DeepNet -Version 0.3.0.688
dotnet add package DeepNet --version 0.3.0.688
paket add DeepNet --version 0.3.0.688
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 108 9/1/2017
0.3.0.711-master 84 9/1/2017
0.3.0.710-master 83 9/1/2017
0.3.0.709-master 86 8/31/2017
0.3.0.708-master 84 8/30/2017
0.3.0.707-master 85 8/30/2017
0.3.0.706-master 84 8/30/2017
0.3.0.701-master 116 6/26/2017
0.3.0.700-master 110 6/22/2017
0.3.0.699-master 111 6/22/2017
0.3.0.698-master 112 6/21/2017
0.3.0.697-master 111 6/21/2017
0.3.0.696-master 109 6/21/2017
0.3.0.695-master 113 6/21/2017
0.3.0.694-master 110 6/21/2017
0.3.0.693-master 117 6/20/2017
0.3.0.692-master 113 6/19/2017
0.3.0.691-master 114 6/19/2017
0.3.0.690-master 114 6/19/2017
0.3.0.689-master 115 5/14/2017
0.3.0.688 256 5/14/2017
0.3.0.686-master 111 5/14/2017
0.2.0.591-master 117 4/19/2017
0.2.0.565-master 119 4/11/2017
0.2.0.556-master 117 3/21/2017
0.2.0.551-master 123 3/17/2017
0.2.0.540-master 114 3/15/2017
0.2.0.536-master 115 3/14/2017
0.2.0.519-master 118 3/2/2017
0.2.0.516-master 113 3/2/2017
0.2.0.499-master 126 2/13/2017
0.2.0.494-master 117 2/7/2017
0.2.0.479-master 132 2/1/2017
0.2.0.463-master 136 1/17/2017
0.2.0.431-master 144 12/2/2016
0.2.0.422-master 138 11/9/2016
0.2.0.421-master 131 11/9/2016
0.2.0.411-master 167 10/26/2016
0.2.0.400-master 129 10/26/2016
0.2.0.394-master 137 10/25/2016
0.2.0.382-master 130 10/21/2016
0.2.0.377-master 133 10/20/2016
0.2.0.323-master 129 10/11/2016
0.2.0.262-master 133 9/29/2016
0.2.0.248-master 133 9/27/2016
0.2.0.174-master 139 9/16/2016
0.2.0.128-master 135 9/8/2016
0.2.0.122-master 136 9/8/2016
0.2.0.121-master 135 9/7/2016
0.2.0.111-master 134 9/7/2016
0.2.0.105-ci 135 9/5/2016
0.2.0.97-ci 136 8/30/2016
0.2.0.96-ci 132 8/29/2016
0.2.0.90-ci 133 8/25/2016
0.2.0.89-ci 136 8/24/2016
0.2.0.88-ci 135 8/24/2016
0.2.0.87-ci 137 8/24/2016
0.2.0.86-ci 136 8/23/2016
0.2.0.85-ci 137 8/22/2016
0.2.0.84-ci 135 8/22/2016
0.2.0.83-ci 138 8/22/2016
0.2.0.82 213 8/22/2016
0.2.0.81-ci 139 8/19/2016
0.2.0.80-ci 151 6/27/2016
0.2.0.79-ci 147 6/27/2016
0.2.0.77-ci 150 6/22/2016
0.2.0.76-ci 148 6/22/2016
0.2.0.75 179 6/15/2016
0.2.0.74-ci 149 6/15/2016
0.2.0.73 165 6/15/2016
0.2.0.72 162 6/15/2016
0.2.0.71 161 6/14/2016
0.2.0.70 185 6/9/2016
0.2.0.69 155 6/9/2016
0.2.0.68 159 6/9/2016
0.2.0.67 161 6/8/2016
0.2.0.66-ci 146 6/8/2016
0.2.0.65-ci 149 6/8/2016
0.2.0.64-ci 152 6/8/2016
0.2.0.63-ci 154 6/7/2016
0.2.0.62 158 6/7/2016
0.2.0.61 160 6/6/2016
0.2.0.60 150 6/6/2016
0.2.0.59 154 6/6/2016
0.2.0.57 159 6/3/2016
0.2.0.56 156 6/3/2016
0.2.0.55 151 6/3/2016
0.2.0.54 155 6/3/2016
0.2.0.53 156 6/3/2016
0.2.0.52-ci 145 6/2/2016
0.2.0.51-ci 148 6/2/2016
0.2.0.50-ci 146 6/2/2016
0.2.0.49 157 5/31/2016
0.2.0.48-ci 148 5/31/2016
0.2.0.46-ci 149 5/31/2016
0.2.0.45 156 5/31/2016
0.2.0.44 152 5/31/2016
0.2.0.43 153 5/31/2016
0.2.0.42 160 5/30/2016
0.2.0.41 150 5/30/2016
0.2.0.40 153 5/30/2016
0.2.0.39 157 5/30/2016
0.2.0.38 152 5/30/2016
0.2.0.37 154 5/30/2016
0.2.0.36 155 5/25/2016
0.2.0.35 159 5/24/2016
0.2.0.34 155 5/24/2016
0.2.0.33 155 5/24/2016
0.2.0.32-ci 149 5/24/2016
0.1.26-ci 148 5/24/2016
0.1.24-ci 145 5/24/2016
0.1.19-ci 148 5/24/2016
Show less