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This repo contains many practical examples written in SciSharp's machine learning libraries. If you still don't know how to use .NET for deep learning, getting started from these examples is your best choice.

Requirements:

• .NET Core 5.0

• Visual Studio 2019 orVisual Studio Code

Run specific example in shell:

:: run all examples from source codedotnet run --project src/TensorFlowNET.Examples:: run specific exampledotnet run --project src/TensorFlowNET.Examples -ex"Linear Regression (Graph)":: run in compiled librarydotnet TensorFlowNET.Examples.dll -ex"MNIST CNN (Eager)"

:: run all examples from source codedotnet run --project src/TensorFlowNET.Examples.FSharp:: run specific exampledotnet run --project src/TensorFlowNET.Examples.FSharp -ex"Linear Regression (Eager)":: run in compiled librarydotnet TensorFlowNET.Examples.FSharp.dll -ex"MNIST CNN (Eager)"

Example runner will download all the required files like training data and model pb files.

• Hello WorldC#,F#
• Basic OperationsC#,F#
• Linear Regression in Graph modeC#,F#
• Linear Regression in Eager modeC#,F#
• Linear Regression in KerasC#
• Logistic Regression in Graph modeC#,F#
• Logistic Regression in Eager modeC#,F#
• Nearest NeighborC#,F#
• Naive Bayes ClassificationC#,F#
• K-means ClusteringC#

• Full Connected Neural Network in Eager modeC#,F#
• Full Connected Neural Network (Keras)C#,F#
• NN XORC#
• Object Detection in MobileNetC#
• MNIST FNN in Keras Functional APIC#,F#
• MNIST CNN in Graph modeC#,F#
• MNIST CNN in Eager modeC#,F#
• MNIST CNN in Keras SubClassC#,F#
• MNIST RNNC#
• MNIST LSTMC#
• Image Classification in Keras Sequential APIC#,F#
• Image Recognition InceptionC#,F#
• Toy ResNet in Keras Functional APIC#,F#
• Transfer Learning for Image Classification in InceptionV3C#
• CNN In Your Own DatasetC#,F#

• Binary Text ClassificationC#
• CNN Text ClassificationC#
• Named Entity RecognitionC#

• Weather Prediction (CNN, RNN)C#

Your contribution will make .NET community better than ever.