#AzureML – Sample 🐍 Python app using a WebCam to perform Image Analysis from an image classification AzureML HTTP REST Endpoint

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 using a WebCam to perform Image Analysis from an image classification AzureML HTTP REST Endpoint

#AzureML – Sample 🐍 Python app to consume a image classification AzureML HTTP REST Endpoint

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

#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. 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 🎨

#AzureML – Using a custom images 🖼️ dataset on the AzureML Designer with 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 🎨

#AzureML – How to create a dataset with images to be used on the AzureML Designer DenseNet samples

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

#Event – Resources used on the Azure AI Fundamentals, intro to #AzureML @conosurtech

Hi ! Amazing session yesterday with my friends from ConoSurTech, Fernando, Ivana y Pablo. We had a great session with a high level overview around Azure Machine Learning, as part of the “Diplomado de AI Fundamentals 2020” Diplomado de AI Fundamentals 2020 El diplomado consiste en clases online dictadas a partir del 20 de Octubre…… Continue reading #Event – Resources used on the Azure AI Fundamentals, intro to #AzureML @conosurtech

#Event – Resources used during my session “Building an Anomaly Detector System with a few or no lines of code” @MsftReactor

Hi! My 1st session at Microsoft Reactor and it was amazing. We had engaging conversations around Machine Learning and Anomaly Detection, and as I promised here are the resources used. Building an Anomaly Detector System with a few or no lines of code More Information https://www.microsoftevents.com/profile/form/index.cfm?PKformID=0x8330114abcd Slides Source Code https://github.com/elbruno/events/tree/master/2019%2011%2021%20Anomaly%20Detections%20Reactor Reference Links General Introduction to…… Continue reading #Event – Resources used during my session “Building an Anomaly Detector System with a few or no lines of code” @MsftReactor