Deep Learning

During the Tmall Double 11 Carnival this year, the Tmall Genie IoT team has handed over an excellent transcript. Tmall's smart eco products have won 28 first prizes in all categories, and they have won a total victory.

First of all, the three scenes are introduced. The first one is the story of diaper and beer sales. Wal-Mart stores put beer and diaper on sale and finds that the sales of beer will increase with the sales of diapers.

The term alignment TaskBot engine: The core processing object is "skill". We define the skill as a structured (query+content), vertical scene-based task, such as real-time scene query, tool class, control class, etc. QABot engine: including KG-QA Engine, QAPair engine, DeepQA engine.

2018 "Double 11", Alibaba Artificial Intelligence Lab's Tmall Genie Fangtang (TG_C1) won the Tmall platform consumer electronics industry single product sales champion, the first time other products replaced mobile phones to win this title, the times change This has suddenly appeared in front of people, causing widespread concern.

In the past decade, there has been a surge in interest in machine learning. Almost every day, we can see discussions about machine learning in a variety of computer science courses, industry conferences, the Wall Street Journal, and more.

On July 5th, 2017 Alibaba Group officially released the first intelligent voice terminal device developed by its A.I. Labsoratory (A.I. Labs) - Tmall Genie X1. This is a consumer-grade AI product for home users, priced at 499 yuan, built-in Alibaba launched the first generation of human-computer communication system - AliGenie.

The Tmall Genie Fangtang Devil Rock is the 11th week limited edition commemorative edition of the Tmall. It has been used since the acquisition of this smart speaker. At the same time, it is also equipped with smart bulbs and smart sockets. From the experience point of view, the combination of three sets of sets at a price of less than one hundred yuan really gave me a very good smart home experience.

Machine learning sounds like a wonderful concept, and it does, but there are some processes in machine learning that are not so automated. In fact, when designing a solution, many times manual operations are required.

After reading the introduction of the Tmall Genie, is it really amazing? Actually, each program can create a function song that can be realized by your own smart home - the most basic function, you can download your favorite songs at any time. Timed reminder - remind yourself to eat, remind yourself to sleep and listen to the story - you can ask the online search for a short story, then read it to yourself by voice

Has started the Tmall Genie Fangtang Zhilian set (Tmall Genie cube candy smart speaker + smart socket + smart light bulb) and intelligent control set (Tmall Genie Fangtang smart speaker + universal infrared remote control), smart socket and universal infrared remote control Cooperating with the Tmall Genie, it can upgrade the wisdom of different non-smart home devices in the home. It is an artifact.

In this article we analyzed the advantages and disadvantages of 13 algorithms of machine learning, including: Regularization Algorithms, Ensemble Algorithms, Decision Tree Algorithm, Artificial Neural Network, Deep Learning, etc.

At the Yunqi Conference, Nie Zaiqing, the behind-the-scenes team of the Tmall Genie, introduced the operation mechanism and perfect method of the voice interactive platform. In the contemporary era of deepening the popularity of intelligence, human-computer interaction has become an urgent problem to be solved. In order to solve this problem, Alibaba's A.I. Labsoratory has conducted in-depth research and comprehensive optimization of the intelligent voice interaction platform.

The future hotel full of technology tells us that technology is not cold, it can also perfectly interpret alternative digital humanized services.

The article is about machine learning, deep learning and AI: What is the difference? When it comes to new data processing techniques, we often hear many different terms. Some people say that they are using machine learning, while others call it artificial intelligence.

On November 14th, 2017 GASA University (GASA) Sixiang Class II, Professor Wang Gang, the chief scientist of Alibaba A.I. Labsoratory, explained the product of “Tmall Genie” and Alibaba’s breakthrough in human-computer interaction. At the same time, it also had in-depth exchanges with the students on issues such as commercial realization, convergence with the Alibaba ecosystem, user experience, large-scale commercial interaction of voice, competition and cooperation.

For machine learning, the right data set and the right model structure are critical. Choosing the wrong data set or the wrong model structure may result in a poorly performing network model, and may even get a non-converged network model.

Another year of double 11, this time the Tmall spirit continued the glory of last year, won the single product sales champion in the consumer electronics industry of Tmall platform, and this smart speaker product has also replaced the double 11 The mobile phone category of the sales champion. Why the Tmall Genie can, this will be the issue that this article will focus on.

This paper raises objections to this view, thinking that machine learning ≠ data statistics, deep learning has made a significant contribution to our handling of complex unstructured data problems, and artificial intelligence should be appreciated.

The double 11 data is showing us a new trend. From the sales data related to smart products, it can be seen that the acceptance and demand of users for the new form of voice interaction is constantly increasing and increasing. The core of the voice should be that the voice is more in line with the natural interaction of the person, and at the same time it can free the hands of the user.

In this article, I want to share with you 8 neural network architectures. I believe that any machine learning researcher should be familiar with this process to promote their work.