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Deep Learning

KubeDL HostNetwork: Accelerating Communication Efficiency for Distributed Training

This blog introduces KubeDL and explains how it helps speed up distributed training jobs and solve other common problems with deep learning workloads.

Understand the Difference between Computer Vision (CV) and Computer Graphics (CG)

This article discusses the differences between computer vision (CV) and computer graphics (CG) with multiple diagrams.

Studying Intelligence: An Introduction to Deep Learning

This article discusses the stages of artificial intelligence and the basics of deep learning.

Train and Deploy an Image Classification Model Using MacOS

This article explains how to train and deploy an image classification model using MacOS.

Cloud-Native AI: Fluid + JindoFS Helps Improve the Speed of Model Training for Massive Small Files from Weibo by 18 Times

This article introduces a new architecture solution based on Fluid (containing JindoRuntime) designed and implemented by Weibo's technical teams.

KubeDL 0.4.0: AI Model Version Management and Tracking Based on Kubernetes

This article discusses KubeDL and the updates in version 0.4.0.

An Introduction to the Design and Practice of High-Dimensional Vector Retrieval Technology in PostgresSQL

This short article introduces the design and practice of high-dimensional vector retrieval technology in Postgres.

Hyper parameter optimization of Convolutional Neural Networks to classify MNIST digit database

I explored the cloud AI systems available with Alibaba Cloud. The Machine Learning Platform for AI sounds promising for anyone who wants to kickstart their projects in Cloud AI.

Effectively Overcome Python's Shortcomings with Go+

In this post, Wang Yi of Ant Group shares the reasons why he follows Go+ and explores how it can help overcome shortcomings in Python.

Emulating Neural Synapses through AI

Neural synapses in mammal brains are also capable of performing deep learning. New advances in AI and neuroscience aim to emulate, or even surpass, th.

QA Systems and Deep Learning Technologies – Part 2

Deep Learning is a subfield of machine learning, and aims at using machines for data abstraction with the help of multiple processing layers and complex algorithms.

Basic Concepts and Architecture of a Recommender System

In this article, Alibaba technical expert Aohai introduces the basic concepts and architecture of an enterprise-level recommender system.

AI Sports: Best Practices of Alibaba Sports in End Intelligence

This article explains the benefits of AI Sports and end intelligence.

The Secret Behind Taobao's AI-Powered Personalized Recommendations

This article introduces Alibaba's Artificial Intelligence Online Serving (AI OS) and the evolution of its technical architecture and practices.

New Exploration of AI·OS: A Device-to-Device Platform for Algorithm Engineering

This article focuses on deep learning algorithm engineering and uses Taobao to explain how to build a device-to-device platform for AI algorithm platforms.

Build a Personalized Recommendation System on Alibaba Cloud in Three Steps

This article explains how to build a personalized recommendation system by illustrating a news recommendation system using AnalyticDB for PostgreSQL.

Alibaba Customer Services Assistant: Human-Machine Collaboration to Improve Efficiency

This article explores how Alibaba Customer Services Assistant makes human-machine collaboration an inclusive capability across the service industry to enhance the quality of customer service.

How to Improve User Participation: The Rise of Interactive Recommendations

This article describes how users interact with the recommendation systems. It demonstrates the implementation of the interactive recommendation through the weather vane model.

Unveiling the Algorithm behind "Picks For You"

This article explains the algorithm to insert marketing scenario cards into the "Picks For You" display for effectively distributing traffic and improving overall position exposure gain.

Alibaba's AI Technology: The Force Behind Gross Merchandise Volume of RMB 268.4 Billion

This article provides a walkthrough of a speech by Lin Wei, a researcher at the Alibaba Cloud's Artificial Intelligence (AI) division.