articleTrain and Deploy Machine Learning models using Azure ML
AzureML is a machine learning cloud-based service from Azure cloud used for development, training and deployment of Machine Learning models and solutions
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postDraw lines on images using OpenCV
Opencv is widely used for processing images. We can use opencv opencv to draw different shapes on images like lines, rectangle, circle and polygons
articleEmotion Classification from text using Tensorflow 2
Emotion Classification is a Natural Language Processing task in Machine Learning where we can process text data and classify into different classes and can detect sentiment of given text.
articleFace detection and matching with Azure Cognitive Services
Use Azure Cognitive face service to detect faces in images and also match faces to recognize person in images. We can also use it to group faces and face recognition.
articleConnect custom domain to Google Compute Engine
Connect a custom domain from any domain provider to Google cloud compute engine
articleTrain Image Classification model using Azure Cognitive Services
Train a Deep learning image classification model with no or very less code and serve using an endpoint using azure cognitive services.
articleTrain Image Classification model using tensorflow
Image classification is a very basic example in computer vision yet used widely for a lot of tasks. In image classification, we can input and image to deep learning model and get related label for class which image belongs to. We can use image classification for classifying an object from different classes, checking quality of a manufactured objects(good or not),
articleTensorflow classification models optimization using TensorRT
Optimize tensorflow deep learning models using TensorRT by nvidia to speed up inference of models with good accuracy.
articleDeploy keras image classification model using flask and Docker on Azure
For any model, we train for a specific purpose, we need to deploy it on some cloud or local device to use it for new data, so here we will learn about cloud deployment as API