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.

Connect a custom domain from any domain provider to Google cloud compute engine

Train a Deep learning image classification model with no or very less code and serve using an endpoint using azure cognitive services.

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),

Optimize tensorflow deep learning models using TensorRT by nvidia to speed up inference of models with good accuracy.

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

Face Detection and Recognition is a very used part in Deep Learning. We use face detection and recognition for different tasks like login on applications, person recognition and different attendence systems.