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Neural Networks

Controllable Multi-Interest Framework for Recommendation

6 researchers propose a controllable multi-interest framework for recommendation, which is used to recommend items based on a user's click sequence.

Setting up a Single Shot MultiBox Detector on Alibaba Cloud

This tutorial shows how you can set up a Single Shot MultiBox Detector on Alibaba Cloud to deploy and train an MXNet model.

Core Machine Learning: An Introduction

This article takes a look at the Core Machine Learning (ML) framework and shows how to implement this model.

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.

Decoding the AI Defense System Behind Alibaba Cloud Web Application Firewall (WAF)

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.

Introduction and Application of Convolutional Neural Networks

Convolutional neural network has been popular in the field of image processing and widespread real-world applications are now using CNN.

An Introduction to Core Machine Learning

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.

Core Technologies of Alibaba Cloud Voice Recognition Model

This document describes the acoustic and language models adopted by Alibaba Cloud Voice Recognition Technology, including the LC-BLSTM acoustic model,...

Alibaba Cloud DFSMN Breaks the Barriers of Speech Recognition Accuracy with MaxCompute

Alibaba Cloud makes its high-accuracy speech recognition model (96.04%), Deep Feedforward Sequential Memory Network (DFSMN), open source on GitHub.

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.

Deep Dive into Computer Vision with Neural Networks – Part 1

This article explores the use of deep neural networks in computer vision applications including image recognition, classification, face recognition and video classification.

Deep Dive into Computer Vision with Neural Networks – Part 2

This article explores the use of deep neural networks in computer vision applications including image recognition, classification, face recognition and video classification.

All You Need to Know About Neural Networks – Part 1

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.

All You Need to Know About Neural Networks – Part 2

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.

From R-CNN to Faster R-CNN – The Evolution of Object Detection Technology

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.

The Differences between AI, Machine Learning, and Deep Learning

Although conceptually similar, the terms AI, machine learning, and deep learning are not interchangeable.

How to Implement Neural Networks with TensorFlow

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.

Geoffrey Hinton's Capsule Networks: A Novel Approach to Deep Learning

The Capsule Network proposed by Dr. Geoffrey Hinton brings a new perspective to Deep Learning as compared to Convolutional Neural Networks.