2018GAITC丨DLI Five advantages to help you successfully embark on the road of artificial intelligence
As an important representative of the new round of scientific and technological revolution, artificial intelligence has become the forefront of the current scientific and technological field.
In last year's and this year's government work report, artificial intelligence has been the focus of the government's top-level design. The "New Generation Artificial Intelligence Development Plan" issued by the State Council also shows that by 2020, the scale of China's artificial intelligence core industry will exceed 150 billion yuan, driving the scale of related industries to more than one trillion yuan. As the core driving force of the next round of industrial transformation, artificial intelligence is becoming a new kinetic energy for China and the global economy.
Whether it is to improve the ability to innovate, in-depth integration of information and industrialization, or to promote breakthrough development in key areas and improve the level of international development of manufacturing, artificial intelligence is indispensable. Artificial intelligence is an indispensable core technology for intelligent manufacturing.
The artificial intelligence talent market is seriously inadequate, and the salary has exceeded one million.
According to IDC statistics, after two years, 80% of applications will be related to AI. However, due to the serious shortage of professional talents, artificial intelligence is still difficult to achieve large-scale commercial landing in the industry.
According to Gartner's "2018 CIO Agenda Survey", only 4% of CIOs have implemented artificial intelligence, 46% of CIOs have developed plans, and the commercial deployment of artificial intelligence has just begun. More statistics show that the global AI talent is estimated to be about 300,000 people, and the overall market demand is more than one million.
Along with the increasingly hot prospects of the artificial intelligence industry and the serious shortage of related professional talents, the competition for artificial intelligence talents has become increasingly fierce. According to the “Spring 2017 Internet Talent Trend Report†released directly by BOSS, the supply of talents related to big data and artificial intelligence is seriously insufficient. Among them, the search algorithm category has a gap ratio of more than 50%, and the depth of deep learning is only 33.8%.
Through the recruitment of artificial intelligence related positions, we found that the annual salary of international giants such as Google China and Microsoft is more than 500,000 yuan, and some algorithm engineers even reach more than one million. Even more than 30 domestic enterprises target even fresh graduates. A price tag of more than 300,000 yuan was issued.
To this end, many people in the industry said that now is the best time to enter the artificial intelligence industry!
Five advantages of DLI help you successfully embark on the road of artificial intelligence
The window of opportunity with great temptation is in front of you, and there are many people who want to learn, but for most of the friends, it is not easy to successfully set foot on artificial intelligence. Many senior learners are voicing, go to the website to collect free teaching videos from major websites, and books recommend a lot of books. Less than one-third of the actual readings are not enough to waste time.
As everyone knows, if a worker wants to do something good, he must first sharpen his tools and want to become a talent in the field of artificial intelligence. Without appropriate learning resources, it is impossible.
To this end, during the Global Artificial Intelligence Technology Conference (GAITC) from May 19th to May 20th, the conference united with NVIDIA Deep Learning InsTItute (DLI), which was launched for the majority of corporate technology leaders. Authoritative, scientific and practical “deep learning†training courses. Through a two-hour course experiment, learners have the ideas and abilities to use deep learning techniques to explore and solve industry problems.
For the sake of not knowing how to get started, not knowing how to advance, lack of high-level on-demand, difficult to understand recent cutting-edge applications, lack of practical environment, etc., many people are learning artificial intelligence technology, DLI's five core advantages help you easily embark on artificial intelligence road.
Top artificial intelligence experts teach in person,
The course covers everything from entry to advanced
Nvidia Deep Learning Academy is the world's leading deep learning client and partner of Nvidia and Google, Facebook, Amazon, and senior experts in deep learning, providing developers with training on the latest artificial intelligence technologies. Designed with the world's most advanced deep learning research and exploration, the training covers different stages from entry to advanced. The basic course uses an enhanced learning model. Beginners can learn and practice based on a well-trained neural network. They are designed for students who want to learn the basics of deep learning. Last year, DLI trained more than 10,000 people worldwide.
Experience the complete workflow of deep learning
Traditional artificial intelligence teaching emphasizes theory and research, but for developers or employers, in fact, there is a need for training programs that can quickly get started and participate in production. But with the guidance of a DLI instructor, you can hands-on lab and experience the complete workflow of deep learning, including data management, model design and training, application optimization and deployment. For example, you will know how to use deep neural networks (DNN), especially convolutional neural networks (CNN), to solve real image classification problems in the deep learning workflow through NVIDIA DIGITS and MNIST handwritten datasets on the Caffe framework.
Experience the complete workflow of deep learning
Traditional artificial intelligence teaching emphasizes theory and research, but for developers or employers, in fact, there is a need for training programs that can quickly get started and participate in production. But with the guidance of a DLI instructor, you can hands-on lab and experience the complete workflow of deep learning, including data management, model design and training, application optimization and deployment. For example, you will know how to use deep neural networks (DNN), especially convolutional neural networks (CNN), to solve real image classification problems in the deep learning workflow through NVIDIA DIGITS and MNIST handwritten datasets on the Caffe framework.
Practically oriented, application specific to specific industry scenarios
Many of DLI's courses combine the application of specific industry-specific scenarios. For example, in the medical health curriculum, there are vertical application courses for medical image analysis with a wide range of application scenarios, white blood cell chromosome status analysis and genome analysis by radionomics. In the media and entertainment arena, learn how to use creative vs. networks to create content, such as special effects in video, movies, or advertising. In the field of medical and robotics, one of the laboratory courses involves genomics.
No need to write code, excellent open source tools to improve learning outcomes
Although the market provides a lot of deep learning development frameworks, learners often spend a lot of effort on the code debugging of the framework. DLI provides a super-easy and easy-to-use deep learning platform tool, DIGITS, for the most advanced abstraction of existing deep learning development frameworks. The platform allows you to easily perform tasks such as image classification, target detection, and segmentation based on the deep learning model, and display them in a graphical interface. At present, DIGITS can support Caffe, Torch, Tensorflow, etc., and there will be more deep learning framework support.
Specific people, teaching students in accordance with their aptitude
Although the training target group is a technical expert in the vertical industry field, if you are a senior technical manager of the enterprise, you don't need to know the specific code implementation. DLI also provides you with an hour of quick training course to help you better understand AI and let you know more. You know how AI works in your business.
Currently, DLI has launched a series of more than 30 hours of training. The course content includes not only general-purpose basic knowledge such as generative confrontation network, image processing, target detection, and neural network deployment, but also development of specific industry AI applications for finance, medical, robotics, and transportation.
“It’s very difficult to find deep learning applications and the latest technology courses at the university, which is why NVIDIA wants to set up a deep learning school. We hope to bring leading deep learning and AI technology to the entire developer communityâ€, NVIDIA Greg Estes, vice president of developer programs, said so.
Specific training schedule
Students can start from the zero basis, learn the latest AI framework, deep learning software and GPU technology, and can also practice the complete workflow of deep learning and complete an application task, thus having the idea of ​​using deep learning technology to explore and solve industry problems. And ability.
Specifically, the course schedule and contents are as follows:
schedule:
The first part of deep learning reveals and applies the duration: 1 hour
The second part does not need to write code, use the open source software DIGITS to achieve image classification time: 2 hours
Course Introduction:
â— Deep learning reveals and applies
Level: Beginner | Prerequisite: None
Industry: All | Frameworks: Caffe, Theano, Torch
This lab will introduce the fast-growing GPU-accelerated deep learning technology. This course is designed for students who want to learn the basics of in-depth learning.
You will learn:
*The concept of deep learning
* How the development of deep learning will enhance machine-aware tasks, including visual perception and natural language capabilities
*How to choose the software framework that best suits your needs
After completing this lab, you will have a basic understanding of accelerated deep learning.
â— No need to write code, use open source software DIGITS to achieve image classification
Level: Beginner | Prerequisite: None
Industry: All | Frameworks: Caffe
This lab will show you how to use deep neural networks (DNN), especially convolutional neural networks (CNN), to solve real image classification problems in the deep learning workflow through the NVIDIA DIGITS and MNIST handwritten datasets on the Caffe framework. .
You will learn:
* Build a deep neural network running on the GPU
* Management data preparation, model definition, model training and troubleshooting process
* Use validation data to test and try different strategies to improve model performance
After completing this lab, you will be able to use NVIDIA DIGITS to build, train, evaluate and enhance the accuracy of convolutional neural networks in your image classification application.
Preparation before class:
â— Open the NVIDIA Deep Learning InsTItute (DLI) course experimental website account.
â— Carry a computer to participate in the training, and you need to install IE 10 (or above), or Chrome 59 (or above) browser.
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