#ML.NET Image Classification with ML.NET Command-Line Interface (CLI), no #VS2019 needed !

Hi ! I haven't write a lot about ML.NET Command-Line Interface (CLI) (see references), and that's a shame. It's very powerful and also it supports most of the ML.Net features, like in example: Model Builder Image Classification scenario. The ML.NET CLI automates model generation for .NET developers. To use the ML.NET API by itself, (without … Continue reading #ML.NET Image Classification with ML.NET Command-Line Interface (CLI), no #VS2019 needed !

#Podcast – NTN 44 – CLIs vs GUIs con @jc_quijano y @eiximenis

Buenas! Buenas!Hoy tengo la suerte de hablar con Eduard Tomas (@eiximenis) y Juan Quijano (@jc_quijano) sobre uno de los temas que ha tenido bastante popularidad en Twitter: CLIs o GUIs. Hablamos sobre las preferencias de cada uno y sobre cómo nos hemos movido hasta el punto actual donde parece que hay CLIs por todos lados.Juan … Continue reading #Podcast – NTN 44 – CLIs vs GUIs con @jc_quijano y @eiximenis

#MLNET – Are you a Command line user? MLNet CLI is great for some AutoML train tasks!

Hi ! Yesterday I wrote about how easy is to use Model Builder to create Machine Learning models directly from data inside Visual Studio. If you prefer to work with command line interfaces, Machine Learning.Net AutoML also have a CLI interface and with a couple of commands, you can get some amazing results. So, for … Continue reading #MLNET – Are you a Command line user? MLNet CLI is great for some AutoML train tasks!