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TensorFlow.NET
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TensorFlow.NET/TensorFlow.NET.sln

TensorFlow.NET.sln 4.8 kB
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Removed the web project from the solution as agreed with Oceania
6 years ago
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init TensorFlow Hub project.
6 years ago
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Removed the web project from the solution as agreed with Oceania
6 years ago
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​
​
​
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Keras Commit
6 years ago
Makina Commit 1
6 years ago
F# example project structure adjusted
6 years ago
F# example created
6 years ago
Tensor: added a constructor to create a Tensor from a fixed memory pointer that is owned by the caller
6 years ago
added a benchmark suite
6 years ago
v0.10.2 (#318) * fixed a bug about unzip * added a test case for MnistModelLoader * cleared warnings in the UnitTest project * Upgrade NumSharp with signature. * Testing gradients function: (#307) - Concat - LGamma - Tanh - Slice * Adding new ctor for `Session` (#309) Meant to be a shortcut to directly set some basic configuration. E.g. ``` var sessionOptions = new SessionOptions(); sessionOptions.SetConfig(new ConfigProto { LogDevicePlacement = true, InterOpParallelismThreads = 4, GpuOptions = new GPUOptions { AllowGrowth = true, PerProcessGpuMemoryFraction = 0.12 } }); var session = tf.Session(sessionOptions); ``` Adding `AbsGrad` To be aligned with Tensorflow, introducing also `Sign` operation and its gradient. * fix strided_slice_grad type convention error. #307 * added a static load method for MnistModelLoader * adjusted the assembly name for hub * add Prediction function for Transfer Learning * fixed the path combining issue * Init TensorFlow.Text project. put all UnitTest and Example into one project. * Predict image category in bootleneck file. * Adding `IsNan` operation (#315) Exposing also the `IsFinite` one. Unit testing both operations. * change bottleneck file to raw image as input for transfer learning. * remove unnecessary projects (#316) * implementing some additional methods (#317) * got rid off the reference to the TF.NET * updated project file for packaging
6 years ago
init TensorFlow Hub project.
6 years ago
v0.10.2 (#318) * fixed a bug about unzip * added a test case for MnistModelLoader * cleared warnings in the UnitTest project * Upgrade NumSharp with signature. * Testing gradients function: (#307) - Concat - LGamma - Tanh - Slice * Adding new ctor for `Session` (#309) Meant to be a shortcut to directly set some basic configuration. E.g. ``` var sessionOptions = new SessionOptions(); sessionOptions.SetConfig(new ConfigProto { LogDevicePlacement = true, InterOpParallelismThreads = 4, GpuOptions = new GPUOptions { AllowGrowth = true, PerProcessGpuMemoryFraction = 0.12 } }); var session = tf.Session(sessionOptions); ``` Adding `AbsGrad` To be aligned with Tensorflow, introducing also `Sign` operation and its gradient. * fix strided_slice_grad type convention error. #307 * added a static load method for MnistModelLoader * adjusted the assembly name for hub * add Prediction function for Transfer Learning * fixed the path combining issue * Init TensorFlow.Text project. put all UnitTest and Example into one project. * Predict image category in bootleneck file. * Adding `IsNan` operation (#315) Exposing also the `IsFinite` one. Unit testing both operations. * change bottleneck file to raw image as input for transfer learning. * remove unnecessary projects (#316) * implementing some additional methods (#317) * got rid off the reference to the TF.NET * updated project file for packaging
6 years ago
init TensorFlow Hub project.
6 years ago
Removed the web project from the solution as agreed with Oceania
6 years ago
​
​
​
​
​
​
​
​
​
​
​
​
​
​
​
​
​
Keras Commit
6 years ago
​
​
​
F# example project structure adjusted
6 years ago
​
​
​
added a benchmark suite
6 years ago
​
​
​
init TensorFlow Hub project.
6 years ago
​
​
​
v0.10.2 (#318) * fixed a bug about unzip * added a test case for MnistModelLoader * cleared warnings in the UnitTest project * Upgrade NumSharp with signature. * Testing gradients function: (#307) - Concat - LGamma - Tanh - Slice * Adding new ctor for `Session` (#309) Meant to be a shortcut to directly set some basic configuration. E.g. ``` var sessionOptions = new SessionOptions(); sessionOptions.SetConfig(new ConfigProto { LogDevicePlacement = true, InterOpParallelismThreads = 4, GpuOptions = new GPUOptions { AllowGrowth = true, PerProcessGpuMemoryFraction = 0.12 } }); var session = tf.Session(sessionOptions); ``` Adding `AbsGrad` To be aligned with Tensorflow, introducing also `Sign` operation and its gradient. * fix strided_slice_grad type convention error. #307 * added a static load method for MnistModelLoader * adjusted the assembly name for hub * add Prediction function for Transfer Learning * fixed the path combining issue * Init TensorFlow.Text project. put all UnitTest and Example into one project. * Predict image category in bootleneck file. * Adding `IsNan` operation (#315) Exposing also the `IsFinite` one. Unit testing both operations. * change bottleneck file to raw image as input for transfer learning. * remove unnecessary projects (#316) * implementing some additional methods (#317) * got rid off the reference to the TF.NET * updated project file for packaging
6 years ago
​
​
​
Removed the web project from the solution as agreed with Oceania
6 years ago
​
​
​
​
​
​
​
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tensorflow框架的.NET版本，提供了丰富的特性和API，可以借此很方便地在.NET平台下搭建深度学习训练与推理流程。