Using ML.NET to Build Machine Learning Models/

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Solution Review: Consuming Sentence Similarity Model

Review the solution of consuming a sentence similarity model.

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Solving the challenge

<Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
    <OutputType>Exe</OutputType>
    <TargetFramework>net6.0</TargetFramework>
    <ImplicitUsings>enable</ImplicitUsings>
    <PlatformTarget>x64</PlatformTarget>
    <Nullable>disable</Nullable>
  </PropertyGroup>

  <ItemGroup>
    <Compile Remove="ImageClassificationDemo.training.cs" />
  </ItemGroup>

  <ItemGroup>
    <PackageReference Include="Microsoft.ML" Version="3.0.0-preview.23266.6" />
    <PackageReference Include="Microsoft.ML.TorchSharp" Version="0.21.0-preview.23266.6" />
    <PackageReference Include="TorchSharp-cuda-linux" Version="0.99.5" />
  </ItemGroup>

</Project>

Sentence similarity solution

Introduction to ML.NET

Machine Learning Fundamentals

Selecting a Problem for Machine Learning

Built-In Supervised Learning Tasks in ML.NET

Built-In Unsupervised Learning Tasks in ML.NET

Deep Learning and Neural Networks

Automating Machine Learning Tasks with AutoML

Saving and Consuming Machine Learning Models

Building an Image Analysis Application

Wrapping Up

Implementation of U-Net for Image Segmentation

Appendix

Solution Review: Consuming Sentence Similarity Model

Solving the challenge