Deep Learning

JindoFS Cache-based Acceleration for Machine Learning Training in a Data Lake

The article explains how JindoFS cache-based acceleration service improves machine learning training speed in a data lake.

Installing MXNet on Alibaba Cloud ECS Ubuntu 16.04

This tutorial teaches several ways you can install MXNet, the deep learning tool on Alibaba Cloud ECS running Ubuntu 16.04.

Exploration and Practice of Deep Learning Application in AMAP ETA

This article summarizes the exploration and practice of applying deep learning to predict estimated time of arrival (ETA) in AMAP.

AI vs Machine Learning vs Deep Learning

This article describes the difference between AI, Machine Learning, and Deep Learning.

Integrating BI with SaaS-based Cloud Data Warehouses

This article, written by Haiqing, an Alibaba Cloud technical expert, introduces SaaS-based Cloud Data Warehouses integrated with business intelligence (BI).

Integrating Real-time Search with SaaS-based Cloud Data Warehouses

This article discusses the integration of Saas Cloud-based Data Warehouses and Real-time Search, as shared by Meng Shuo, product manager of MaxCompute.

Integrating AI with SaaS-based Cloud Data Warehouses

This article discusses SaaS-based cloud data warehouse, such as MaxCompute, and its integration with AI, by Meng Shuo, MaxCompute product manager.

Deep Learning: More Up-to-Date POI Data

This article examines the challenges related to the application of deep learning as an important tool in improving AMAP performance and discusses the feasibility of proposed solutions.

AMAP on the Go: Effective Ways to Respond to Customer Feedback

This article describes how AMAP uses machine learning to automate and improve the efficiency of processing large amounts of user intel.

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.

Intelligently Generate Frontend Code from Design Files: Basic Component Recognition

This article is a part of the article series discussing how to generate frontend code from design files intelligently.

A Journey into Alibaba Cloud's Large-scale Deep Learning Performance Optimization Practices

In this article, we'll introduce Alibaba's Apsara AI Acceleration(AIACC for short) and discuss how it topped DAWNBench in the category of image classification on ImageNet.

Alibaba Cloud Elasticsearch Performance Optimization

This article lists some ideas on how to optimize the performance of Elasticsearch and improve index and query throughput.

AI Supports Automatic Generation of 90.4% of Frontend Modules during Double 11

This article discusses our ideas about AI in the frontend field and efforts to implement code intelligent generation.

Where Does AI Stand Today?

In this blog, Jin Rong, VP of Research at Alibaba DAMO Academy, discusses the current practices, innovations, and future avenues of exploration in AI.

How to Digitize Customers' Actions and Product Movements in the New Retail Era

This article explores the application of AI technology to understand the interactions between consumers and products in retail scenarios.

Exploring Deep Learning Models for Compression and Acceleration

Image compression and acceleration underpin most of the media applications in the consumer space. In this article, we will discuss how deep learning can improve these methods.

Ali-Perseus: Unified and Distributed Communication Framework for Deep Learning

In this article, we discuss how Ali-Perseus can help create a highly optimized and unified distributed communication framework for deep learning on Alibaba Cloud.

DAS Was Polished and Enhanced to Provide Daily Support for Double 11

This article discusses the Database Autonomy Service (DAS) and how it supports and promotes innovation-based transformation during Double 11.

Image Classification with TensorFlow

This article introduces a method of image recognition using deep learning that can be applied to image filtering, and object detection.