A Look at the New ML.NET API
/ML.NET is changing their API and with the release of the new 0.6 version they included part of the API for everyone to play around with. To get everyone started I created a short video to introduce the new API.
ML.NET is changing their API and with the release of the new 0.6 version they included part of the API for everyone to play around with. To get everyone started I created a short video to introduce the new API.
I did a webinar a while back on Azure Databricks. Below is an section of the webinar that goes over how to create an instance of it and shows some of the UI of Databricks. Hope you enjoy!
And if you're interested in seeing the entire webinar, here it is below.
To continue the journal with the Custom Vision service's C# SDK, I have a video that shows how to use it to programmatically train on new image data to update an image classification model.
When trying to read files in Azure Data Lake storage in Azure Databricks is definitely possible, doing so takes quite a few steps. In this video, I show those steps exactly. Hope this helps make it easier for you to connect from data lake storage to Databricks.
Deep learning training, especially if you have image data, can take a long time on a machine with only a CPU. But with advances in cloud computing you can move that training to the cloud on a machine that does have a GPU for relatively cheap cost.
In this video I introduce how to use FloydHub, which is one of those cloud services that allows the use of using a GPU.
Just published a quick videon to show how easy it is to use the Custom Vision SDK in C# to make predictions with a Custom Vision model.
Jonathan is a normal software developer residing in Columbia, SC. During the day he creates software using the Microsoft technology stack: by night he's doing martial arts or off learning and experiencing new things. He can also be found taking long walks around the parking lot or just sitting around reading.
Jon is a random software developer in North Carolina developing in C# for web and machine learning with ML.NET. I also post videos on YouTube.