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Deep Learning

Is Unlabeled Data Not So Useless After All? See What Alibaba's Doing with It

This article looks at the algorithm devised by Alibaba engineers, which turns unlabeled data into a valuable commodity.

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.

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.

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.

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.

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.

Three industries you didn't realize are benefitting from big data

Big data and analytics have long since transitioned from being buzzwords to delivering tangible business results.

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.

Lessons Learned at the 2017 CIKM AnalytiCup Machine Learning Competition

The CIKM AnalytiCup Machine Learning Competition is a platform to explore how different AI algorithms compete against each other in solving real-world problems.

6 Top AutoML Frameworks for Machine Learning Applications (May 2019)

In this post, we 6 key automated machine learning (AutoML) platforms that can assist data scientists to accelerate machine learning development.

Alibaba Cloud Arena: An Open-Source Tool for Deep Learning

Alibaba Cloud deep learning tool, Arena, helps data scientists run deep learning on the cloud without having to learn to manipulate low-level IT resources.

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.

How to Prepare Your GPU Machine and Get It cuDNN Ready

This brief tutorial shows you the step-by-step installation process for preparing cuDNN on an Alibaba Cloud GPU instance.

A Quick Dive into Deep Learning: From Neural Cells to BERT

This article looks at the evolution of deep learning models in the field of natural language processing and some trends in this space.

Alibaba Open-Source and Lightweight Deep Learning Inference Engine - Mobile Neural Network (MNN)

Alibaba has made its lightweight mobile-side deep learning inference engine, Mobile Neural Network (MNN), open source to benefit more app and IoT developers.

Part 4: Image Classification using Features Extracted by Transfer Learning in Keras

In Part 4 of this 4-article series, we will load the saved model again for extracting features from the datasets.

Part 3: Image Classification using Features Extracted by Transfer Learning in Keras

In Part 3 of this 4-article series, we are going to transfer the learning of MobileNet for working with the Fruits360 dataset.

Part 2: Image Classification using Features Extracted by Transfer Learning in Keras

In Part 2 of this 4-article series, we will create a Jupyter notebook and download the Fruits360 dataset using Keras within the Jupyter notebook.

Part 1: Image Classification using Features Extracted by Transfer Learning in Keras

In Part 1 of this 4-article series, we will explore the ML pipeline to highlight the challenges of manual feature extraction.

Revealing the Dark Magic Behind Deep Learning

In this blog, we'll review useful tricks in deep learning and compile an optimization scheme called "checklist testing" that can upgrade any existing deep learning repository.