Tag: Designer

Hi ! In my previous post I wrote How to create a custom dataset with images to be used on a Azure Machine Learning Designer project. How to use the custom data set and how to train an image classification model. How to publish the model to be used as a WebService / HTTP REST…… Continue reading #AzureML – Sample 🐍 Python app to consume a image classification AzureML HTTP REST Endpoint

Hi ! In my previous post I wrote about how to create a custom dataset with images to be used on a Azure Machine Learning Designer project. The second post was about how to use the custom data set and how to train the model. Today let’s publish the model to be used as a…… Continue reading #AzureML – Creating a HTTP Rest Endpoint to consume an AzureML Designer based on the DenseNet template 🎨

Hi ! In my previous post I wrote about how to create a custom dataset with images to be used on a Azure Machine Learning Designer project. Today I’ll share the steps to use it. Let’s start by creating a project based on the “Image Classification using DenseNet” template. Next step is to select the…… Continue reading #AzureML – Using a custom images 🖼️ dataset on the AzureML Designer with the DenseNet template 🎨

Hi ! I didn’t found this online, so I decided to write it down. How to create a dataset with images to be used on the Azure Machine Learning designer, when training a model using the DenseNet prefab and samples. Let’s start defining which Azure Storage Account we will use. I’ll use the default one.…… Continue reading #AzureML – How to create a dataset with images to be used on the AzureML Designer DenseNet samples