Host multiple TensorFlow computer vision models using Amazon SageMaker multi-model endpoints

Amazon SageMaker helps data scientists and developers prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. SageMaker accelerates innovation within your organization by providing purpose-built tools for every step of ML development, including labeling, data preparation, feature engineering, statistical bias detection, AutoML, training, tuning, hosting, explainability, monitoring, and workflow automation. Companies are increasingly training ML models based on individual user data. For example, an image sharing service designed to enable discovery of information on the internet trains custom models based on each user's uploaded images and browsing history to personalize recommendations for that user. The company can also train custom models based on search topics for recommending images per topic.