I do believe this is great news for the ML.NET community and .NET in general. You can now run .NET code (C# / F#) in Jupyter notebooks and therefore run ML.NET code in it as well! - Under the covers, this is enabled by 'dotnet-try' and its related .NET kernel for Jupyter (as early previews). The Jupyter Notebook is an open-source web ...
Blog Post updated targeting ML.NET 1.4 GA (Nov. 2019) Note that this blog post was updated on Nov. 6th 2019 so it covers the updates provided in ML.NET 1.4 GA, such as Image classifier training and inference using GPU and a simplified API. Context and background for 'Image Classification', 'training vs. scoring' and ML....
With ML.NET and related NuGet packages for TensorFlow you can currently do the following: However, in the scenario where you want to train with your own images, the Transfer Learning approach can be a bit complex because even without taking into account the code implementation for transfer learning you'll need to find a base TensorFlow ...
As a developer or software architect, you are focused on the application lifecycle – building, maintaining, and continuously updating the end-user business application, as illustrated in the simplified image below: When you infuse AI (such as an ML.NET model) into your application, then your application lifecycle needs to be extended so it ...
Today, coinciding with //BUILD 2019/ conference, we’re thrilled by launching ML.NET 1.0 release! You can read the official ML.NET 1.0 release announcement Blog Post here and get started at the ML.NET site here. In this blog post I'm providing quite a few additional technical details along with my personal vision that you might find ...
Context ------ UPDATE on May 13th 2019: The recommended way to deploy/run an ML.NET model into ASP.NET Core web apps or WebAPI services is by using the 'Microsoft.Extensions.ML' Integration package. Read about it in this tutorial: - Deploy an ML.NET model in an ASP.NET Core Web API The tutorial above uses optimized code based on an ....
We're currently evolving the .NET microservices guidance and eShopOnContainers reference application. One of the most important topics is about the API Gateway pattern, why it is interesting for many microservice-based applications but also, how you can implement it in a .NET Core based microservice application with a deployment based on Docker ...
Las arquitecturas basadas en Microservicios están emergiendo actualmente como opciones apropiadas para aplicaciones distribuidas de misión crítica. En una arquitectura basada en microservicios, la aplicación se construye basada en una colección de servicios que deben ser desarrollados, probados, versionados y desplegados en producción...
Background tasks and scheduled jobs are something you might need to implement, eventually, in a microservice based application or in any kind of application. The difference when using a microservices architecture is that you can implement a single microservice process/container for hosting these background tasks so you can scale it down/up as you ...
************************** NOTE ************************ This blog post is a replica of the same blog post I just published at the official Microsoft .NET Blog, here: https://blogs.msdn.microsoft.com/dotnet/2017/11/01/modernize-existing-net-apps-with-windows-containers-and-azure/ ******************************************************** As part...
