Tag · 6 posts
#ml
Creating and deploying a model with Azure Machine Learning Service
In this post, we will take a look at creating a simple machine learning model for text classification and deploying it as a container with Azure Machine Learning service. This post is not intended to discuss the finer details of creating a text classification model. In fact, we will use the Keras library and its…
aiCreating and containerizing a TensorFlow Go application
In an earlier post, I discussed using a TensorFlow model from a Go application. With the TensorFlow bindings for Go, you can load a model that was exported with TensorFlow’s SavedModelBuilder module. That module saves a “snapshot” of a trained model which can be used for inference. In this post, we will actually use the…
aiUsing TensorFlow models in Go
Image via http://www.vpnsrus.com In earlier posts, I discussed hosting a deep learning model such as Resnet50 on Kubernetes or Azure Container Instances. The model can then be used as any API which receives input as JSON and returns a result as JSON. Naturally, you can also run the model in offline scenarios and directly from…
aiUsing the Microsoft Face API to detect emotions in photos and video
⚠️ IMPORTANT: the Face API container was retired early 2021. The container image is not available anymore. In a previous post, I blogged about detecting emotions with the ONNX FER+ model. As an alternative, you can use cloud models hosted by major cloud providers such as Microsoft, Amazon and Google. Besides those, there are many…
aiRecognizing images with Azure Machine Learning and the ONNX ResNet50v2 model
Featured image from: https://medium.com/comet-app/review-of-deep-learning-algorithms-for-object-detection-c1f3d437b852 In a previous post, I discussed the creation of a container image that uses the ResNet50v2 model for image classification. If you want to perform tasks such as localization or segmentation, there are other models that serve that purpose. The image was built with GPU support. Adding GPU support was pretty…
aiCreating a GPU container image for scoring with Azure Machine Learning
In a previous post, I discussed how you can add an existing Kubernetes cluster to an Azure Machine Learning workspace. Adding an existing cluster is necessary when the workspace does not support auto creation of a cluster. That is the case when you want to use the Standard_NC6s_v3 virtual machine image. I also used a…
ai