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Deep Learning

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.

Gesture Recognition: The Right Way to AI Interaction

Baitao, Yueyi, Jingzhou, Hongcheng, Yingzhi, and Kante introduce research about the interactive ability of gesture recognition by the Tmall Genie M laboratory.

TensorFlow.js Helps Recognize Large Quantities of Icons in Milliseconds!

This article discusses how to implement Deep Learning, Sample Generation, Model Training, Model Compression, and Conversion with TensorFlow.

Building a High-Level Frontend Machine Learning Framework Based on the tfjs-node

This article describes how Pipcook is integrated with TensorFlow and how the underlying models of tfjs-node are used to build a machine learning pipeline.

Emotion Analysis Technology: Making Automated Customer Service More Intelligent

This article will discuss the principles of emotion analysis algorithm models and the application scenarios of emotion analysis technology along 5 dimensions.

Deep Learning | Development of Big Data Application Testing

This article describes how to test the quality of the technology and systems of the Alibaba AI mid-end, search, recommendation, and advertising applications.

Build a Cloud Data Lake Using E-MapReduce

This article is based on the enterprise data lake construction solution using E-MapReduce and customer best practices shared by Ziguan.

Alibaba Cloud PAI: New Features of Alibaba Cloud's Machine Learning Platform

This article discusses the newly introduced features and capabilities of Alibaba Cloud's machine learning platform, PAI.

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.

Evolution of Text Recognition in AMAP Data Production

This article explores how image recognition technology is used in AMAP data production for more accurate character and text recognition.