This article explores the application of AI technology to understand the interactions between consumers and products in retail scenarios.
This article focuses on image classification scenarios with Neural-Backed Decision Trees (NBDT) algorithms, and discusses potential uses of NBDT for the Xianyu app.
This article explores the use of deep neural networks in computer vision applications including image recognition, classification and video classification.
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.
Convolutional neural network has been popular in the field of image processing and widespread real-world applications are now using CNN.
6 researchers propose a controllable multi-interest framework for recommendation, which is used to recommend items based on a user's click sequence.
This tutorial shows how you can set up a Single Shot MultiBox Detector on Alibaba Cloud to deploy and train an MXNet model.
This article takes a look at the Core Machine Learning (ML) framework and shows how to implement this model.
This article explains how the AI defense system of Alibaba Cloud's WAF solves security challenges concerning open-loop problem spaces and asymmetric positive and negative spaces.
In this article, we will learn about the Core ML framework and briefly discuss how it can be used to complement machine learning applications deployed on Alibaba Cloud.
This document describes the acoustic and language models adopted by Alibaba Cloud Voice Recognition Technology, including the LC-BLSTM acoustic model,...
Alibaba Cloud makes its high-accuracy speech recognition model (96.04%), Deep Feedforward Sequential Memory Network (DFSMN), open source on GitHub.
This article explores the use of deep neural networks in computer vision applications including image recognition, classification, face recognition and video classification.
In this article, Dr. Sun Fei from Alibaba's Search Department will provide a brief overview of the evolution of neural networks and discuss the latest approaches in the field.
In this article, Dr. Sun Fei from Alibaba's Search Department will provide a brief overview of the evolution of neural networks and discuss the latest approaches in the field.
In this article, we discuss the role of positioning in object detection. We will also talk about the evolution of object detection from R-CNN to Fast R-CNN, and Faster R-CNN.
Although conceptually similar, the terms AI, machine learning, and deep learning are not interchangeable.
Neural networks and TensorFlow solve many complicated real world problems in a simplified manner. This article explains the same with Python coding, which is very popular because of deep learning.
The Capsule Network proposed by Dr. Geoffrey Hinton brings a new perspective to Deep Learning as compared to Convolutional Neural Networks.
