- Deep Learning overview🔍
- Building Deep Neural Networks in ML.NET🔍
- Creating a Deep Neural Network in ML.NET🔍
- Does anyone actually use ML.NET? 🔍
- Machine Learning Crash Course With ML.NET🔍
- Building Machine|Learning Models with ML.NET🔍
- Introduction to Machine Learning with C# and ML.NET🔍
- Deep learning with ML.NET🔍
Deep learning with ML.NET
Deep Learning overview - ML.NET | Microsoft Learn
Deep learning in ML.NET · Image classification. In ML.NET you can use the ImageClassification set of APIs to train custom image classification ...
ML.NET | Machine learning made for .NET - Microsoft
ML.NET is a machine learning framework for .NET. ML.NET supports sentiment analysis, price prediction, fraud detection, and more using custom models.
Building Deep Neural Networks in ML.NET - Excella
There are numerous ways to build deep neural networks (DNNs) in Python to accomplish amazing tasks such as computer vision, voice assistance, and much more. But ...
Creating a Deep Neural Network in ML.NET - YouTube
Creating a deep neural network in ML.NET to classify images of flowers. This is an update to the original deep neural network video that ...
Does anyone actually use ML.NET? : r/dotnet - Reddit
ML.NET is an open-source, cross-platform machine learning framework developed by Microsoft. It provides a simplified and accessible way for ...
Machine Learning Crash Course With ML.NET - YouTube
We will go over what machine learning is, what it can be used for and we will create a model using C# & ML.NET Jon Wood YouTube Channel: ...
Building Machine-Learning Models with ML.NET - Atmosera
Every ML.NET app begins by creating an instance of the MLContext class. The seed parameter initializes the random-number generator used by ML.
Introduction to Machine Learning with C# and ML.NET - Rubix Code
The core of ML.NET can be found within two classes MLContext and DataView. The MLContext class is a singleton class, and its object provides ...
Deep learning with ML.NET: Image Classification [8 of 8]
Deep learning enables many more scenarios using sound, images, text and other data types. Learn how to build an Image Classification model ...
Getting started with ML.NET - The JetBrains Blog
It is a set of APIs that can help you train, build, and ship custom machine-learning models. In addition to making custom models, you can also ...
Introduction to ML.NET [Pt 8] | Generative AI with .NET for Beginners
.NET Machine Learning and AI for Beginners Samples: · Intelligent App Sample: · Azure OpenAI Service documentation: · Azure AI Services ...
AI with ML.NET for text classifications | by Ben Witt - Medium
As a .NET developer, Microsoft offers a low-threshold entry into the world of machine learning with ML.NET. This free open-source framework ...
Deep Learning with ML.NET and Model Builder in Visual Studio
Deep Learning with ML.NET and Model Builder in Visual Studio. Hi guys,. Today I am writing about ML.NET and Model Builder in Visual Studio. I ...
ML.NET is a free software machine learning library for the C# and F# programming languages. It also supports Python models when used together with NimbusML.
dotnet/machinelearning-samples: Samples for ML.NET, an ... - GitHub
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET. - dotnet/machinelearning-samples.
ML.NET - Introduction to Machine Learning With C# - Code Maze
Building and Training a Simple Model With ML.NET · _mlContext – the common context for all ML.NET operations · _predictionEngine – a ...
Teaching a .NET developer new tricks: machine learning with ML.NET
ML.NET has a handy GetColumn method that allows us to get the data from a given column within the loaded and transformed dataset as a standard ...
ML.NET 3.0 Boosts Deep Learning, Data Processing for .NET-Based ...
Microsoft shipped ML.NET 3.0, enhancing deep learning and data processing scenarios in the company's machine language framework that lets ...
The ML.NET Deep Learning Plans - Jon Wood
Implementing TorchSharp into ML.NET. The final stage is, once TorchShap has been made production ready, create a high-level API in ML.NET to ...
ML.NET: Machine learning from data to production in less than 30 ...
https://aka.ms/dotNETConf2021-GetdotNET6 Getting machine learning models from experimentation to production is an industry-wide challenge.