In this article, we will discuss to use artificial intelligence (AI) and deep learning in image processing, image recognition, image classification and image search.
Image recognition is a popular technology that can detect, understand, and distinguish images from one another.
This article discusses how to implement Deep Learning, Sample Generation, Model Training, Model Compression, and Conversion with TensorFlow.
This article introduces the principles of image search and shows you how to quickly build an image search system with Alibaba Cloud AnalyticDB.
Ren Xiaofeng, Chief Scientist for Amap, discusses how Amap develops algorithms to shape the future of travel through map production, route planning, and more.
Alibaba marked a new achievement according to Gartner's Market Share: Enterprise Network Equipment by Market Segment, Worldwide, 4Q19 and 2019.
This article discusses the challenges in image recognition and demonstrates how ApsaraDB RDS for PostgreSQL solves these challenges.
Alibaba Cloud AI computing services has recently set new records at the DAWNBench benchmark, ranking first in four categories.
Read this blog to learn more about Alibaba Cloud's AI capabilities and the benefits of employing a multi-cloud solution.
This article describes the application of machine learning in map data generation and traffic sign recognition for AMAP.
This blog covers the news about GPU-enabled container instances in ACK Serverless and shows how these instances can make AI-computing tasks run quicker.
Alibaba Cloud ranked first in terms of image recognition performance and cost in Stanford University' latest DAWNBench deep learning inference rankings.