MxNetLib 1.1.2
dotnet add package MxNetLib --version 1.1.2
NuGet\Install-Package MxNetLib -Version 1.1.2
<PackageReference Include="MxNetLib" Version="1.1.2" />
paket add MxNetLib --version 1.1.2
#r "nuget: MxNetLib, 1.1.2"
// Install MxNetLib as a Cake Addin #addin nuget:?package=MxNetLib&version=1.1.2 // Install MxNetLib as a Cake Tool #tool nuget:?package=MxNetLib&version=1.1.2
MxNet
Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines.
MXNet is more than a deep learning project. It is a collection of blue prints and guidelines for building deep learning systems, and interesting insights of DL systems for hackers.
mxnetlib is a CSharp binding coving all the Imperative and Symbolic API's with an easy to use interface. Also developed a high level interface to build and train model.
Setup MxNet for Windows: https://github.com/deepakkumar1984/mxnetlib/wiki/Setup---Windows
Nuget
Install the package: Install-Package MxNetLib
https://www.nuget.org/packages/MxNetLib
Symbolic Example
model.SetInput(784);
var x = Symbol.Variable("X");
var fc1 = sym.Relu(sym.FullyConnected(x, Symbol.Variable("fc1_w"), 128));
var fc2 = sym.Relu(sym.FullyConnected(fc1, Symbol.Variable("fc2_w"), 128));
var fc3 = sym.FullyConnected(fc2, Symbol.Variable("fc3_w"), 10);
var output = sym.SoftmaxOutput(fc3, Symbol.Variable("label"), symbol_name: "model");
model.SetDefaultInitializer(new RandomUniform(-1, 1));
model.Compile(output, OptimizerRegistry.SGD(), MetricType.Accuracy);
High Level API Example
model.SetInput(784);
model.Add(new Dense(128, ActivationType.ReLU, kernalInitializer: new RandomUniform(-1, 1)));
model.Add(new Dense(128, ActivationType.ReLU, kernalInitializer: new RandomUniform(-1, 1)));
model.Add(new Dense(10));
model.Compile(OptimizerRegistry.SGD(), LossType.SoftmaxCategorialCrossEntropy, MetricType.Accuracy);
Train and Inference
//Training for 10 epoch
model.Fit(train, 10, batchSize, val);
//Load test data
ImageDataFrame frame = new ImageDataFrame(1, 28, 28);
frame.LoadImages("test_6.png", "test_4.png", "test_4.png", "test_6.png");
NDArray test = frame.ToVariable().Ravel() / 255;
// Predict
var prediction = model.Predict(test).Argmax();
Console.WriteLine(prediction.ToString());
Saving and Loading model and checkpoint
string modelFolder = "../../../model";
model.SaveModel(modelFolder);
model.SaveCheckpoint(modelFolder);
var loadedModel = Module.LoadModel(modelFolder);
loadedModel.LoadCheckpoint(modelFolder);
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. |
.NET Core | netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
.NET Standard | netstandard2.0 is compatible. netstandard2.1 was computed. |
.NET Framework | net46 is compatible. net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
MonoAndroid | monoandroid was computed. |
MonoMac | monomac was computed. |
MonoTouch | monotouch was computed. |
Tizen | tizen40 was computed. tizen60 was computed. |
Xamarin.iOS | xamarinios was computed. |
Xamarin.Mac | xamarinmac was computed. |
Xamarin.TVOS | xamarintvos was computed. |
Xamarin.WatchOS | xamarinwatchos was computed. |
-
.NETFramework 4.6
- CsvHelper (>= 12.1.2)
- Newtonsoft.Json (>= 12.0.2)
- OpenCvSharp3-AnyCPU (>= 4.0.0.20181129)
-
.NETStandard 2.0
- CsvHelper (>= 12.1.2)
- Newtonsoft.Json (>= 12.0.2)
- OpenCvSharp3-AnyCPU (>= 4.0.0.20181129)
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
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