Purpose of establishment
JDLA is a non-profit organization, aiming to promote Deep Learning technology as a driving force for Japanese industries to gain competitiveness in the global stage.
Therefore, industries that utilizes deep-learning technology and experts gather to promote usage of this technology in industries, human resource development, advises public organizations and industries, international collaboration and public speaking to ensure healthy development.
Message from the Chairman
Deep Learning Association was established with a motive to promote competitiveness among Japan’s industries. It is formed by enterprises that utilizes Deep Learning Technology in their businesses.
The rapid advancement in Deep Learning Technology in 2012, boosted performances in technologies like image recognition and sound recognition. Machines are able to “see” different situations and it compatibles with the manufacturing industry. We are able to solve the problems caused by the declining in population and it is a big opportunity for Japan. Many other countries are also quick in adapting with this new technology. If we want to be competitive on the global stage, I think we have to be quick in expanding this new [Deep Learning Industry].
In order to achieve this, we have to develop new talent. Not only we have to scout for talents that has deep learning knowledge, we also need talents that understands the possibilities and limitations of the technology to fully utilize this to solve real world problems. Deep Learning is not omnipotent.
There are many types of data that is being used in this field. Some data is best used for Machine Learning and some is best used for Deep Learning.
A person that can fully understands Artificial Intelligence, Machine Learning and Deep Learning in an organization is a very important factor in promoting the advancement of this technology in this industry. At the same time, talents that are able to develop softwares that uses Deep Learning are largely insufficient. I hope for engineers, researches and students from various fields to be able to learn this new skill.
There is no good or bad in Artificial Intelligence, its characteristics is derived from [There is no definition of Artificial Intelligence]. Due to the low tolerance of implementing this technology, anything and everything can be called artificial intelligence. There is also a possibility of over expectation. That is why in this field it is very important to have a certain level or knowledge and skill. This association’s first and most important activity is to carry out tests. User companies and engineers are required to have a certain degree of knowledge in other to carry out practical discussions or develop businesses.
Moreover, in order for the [product of the learning results] to be widely used by society, there is a need for legal systems, privacy laws, moral ethics to be discussed. This is where the association can also organize discussions or events that include the country’s representatives and companies or societies that provide deep learning services.
Before the time of establishment, companies that are involved in deep learning and startups gathered and discussed for a year about establishing this association. The motive of establishment is to promote competitiveness among industries and to expand companies that are developing deep learning technologies. Although deep learning is now only seen as a machine learning technique, it is a technology full of possibilities. It plays a very important role in the advancement of artificial intelligence. I hope that many companies, experts, engineers and researches agree with our activities and we look forward for your active participation in our association.
Japan Deep Learning Association
Japanese Name一般社団法人 日本ディープラーニング協会
English NameJapan Deep Learning Association （JDLA）
ChairmanYutaka Matsuo University of Tokyo Professor
Board of DirectorsTakeshi Izaki Senior Director of Enterprise Division, NVIDIA
Arisa Ema Project Assistant Professor, The University of Tokyo
Yousuke Okada CEO, ABEJA
Takayuki Okatani Professor, Tohoku University
Tetsuya Ogata Professor, Waseda University
Takayoshi Kawakami CEO, IGPI BAI
Takafumi Kusano CEO, Brainpad
Akira Sato CEO, connectome.design
Mitsunori Nanno CTO, FiNC Technologies
Ryutaro Okada Chief Administration Officer, JDLA
Special AdvisorsYoshimitsu Kobayashi
Chairman, Mitsubishi Chemical Holdings
Former President of University of Tokyo
Visiting Professor, Institute for Future Initiatives, The University of Tokyo
Former President of Takada Pharmaceutical
Former Commissioner of Financial Services
AuditorEiji Watanabe Watanabe Accounting Office
Chief Administration OfficerRyutaro Okada
Date of Establishement1st June 2017
LocationSumitomo Real Estate Tower 9F, 1 Chome-1 Shibakoen, Minato City, Tokyo 105-0011
Board of Directors
The Board of Directors consists of the chairman, council, auditor and special advisors.
Human Resource Development Committee
To ensure the skillsets of application of deep learning, this body plans and executes the JDLA exam. This includes preparation of exam questions, editing and execution of the examination.
TPCTA is a non-profit organization, aiming to promote Deep Learning technology as a driving force for Japanese industry to gain competitiveness on the global stage.
About the background of establishment, objectives and summary of the association.
About the five major activities of the association.
About the two certification exams of the association.
About members of the association.
News & Events
December 22, 2020
1．Promotion of Use
By organizing events like conferences and workshops, aims to provide information on the real-life application of deep learning technology. Moreover, by setting up various work groups based on different fields, we aim to sort and solve many problems involving technical problems and legal issues.
To ensure ethical and healthy development, we provide information to the administration and legislation department of public organizations.
3．Human resource development
aims to cultivate talents that can utilize deep learning technology in businesses ( Generalists ) and also talents that can develop deep learning (Engineer). We define the necessary knowledge and skill sets that are required in the examinations and also provide training throughcertified programs.
When developing deep learning technology, the ethical, legal and social problems that are related will be discussed internationally with various bodies around the world. By having these collaborations and various discussions, JDLA will announce these activities in Japan or report activities inside Japan on the international stage.
The term [Artificial Intelligence] is a very general term at this current stage. There are some individuals over expecting and also people who are worried what it would cause the society. aims to promote understanding of deep learning through various activities.
Awareness and Information
Applications of Deep Learning
In order to promote awareness of deep learning technology, collects applications of deep learning across the country starting from research to the end results of the product. These applications are collected and announced publicly. We welcome any applications of deep learning technology regardless of the size of organization, self nominated or nominated by others. We also welcome partners that are interested to collaborate in collecting applications of deep learning.
Publications of Applications of Deep Learning
Deep Learning Certificates
Deep Learning for GENERAL
Deep Learning for GENERAL：JDLA Certificate Examination
Certifying individuals who are capable of applying their knowledge on Deep Learning in actual business environments
2021 January 30 (Sat.) 2pm-4pm (JST)
US$100 (US$50 for students) *Credit card payment only
Online, approx. 220 multiple-choice questions (120 min.)
As found in the syllabus
2020 December 22 (Tue.) 1pm – 2021 January 22 (Fri.) 11:59pm (all JST)
Group Application : Please submit the application before 2021 January 15 (Fri.)
JDLA’s one of its missions is to cultivate talents (general practitioners and engineers) that are capable of applying their Deep Learning knowledge and expertise to bring business successes.
Deep Learning for GENERAL : JDLA Certificate (G-Certificate) is an industry/academia/public sector endorsed certificate exam taken already by 47,375 people in Japan (as of 2020 December) and has been certifying people who have the basic knowledge and the ability/expertise to determine appropriate application of deep learning in actual businesses.
Those who G-certified (31,659) along with the E-certifified (1,660) are together forming a community of 33,355 deep learning evangelists (CDLE: community of deep learning evangelists) and various activities including hackathons and study sessions are running actively in the community.
Now, the G-certificate exam is available globally for the first time.
Artificial Intelligence: What is AI?
Artificial Intelligence: Basics
Exploration and Reasoning, Knowledge Representation, Machine Learning, Deep Learning
Artificial Intelligence: Issues and Discussions
Toy Problem, Frame Problem, Weak AI, Strong AI, Embodiment, Symbol Grounding Problem, Feature Engineering, Turing Test, Singularity
Machine Learning: Methods
Typical Methods, Data Handling, and others
Deep Learning: Overview
Neural Networks and Deep Learning, Common Issues in Neural Network Implementations, Deep Learning Approaches, Data Volume for Deep Learning, CPU and GPU
Deep Learning: Methods
Activation Function, Learning Rate Optimization, CNN, RNN, Deep Reinforcement Learning, Deep Generative Model
Deep Learning: Research Topics
Image Recognition, Natural Language Processing, Speech Processing, Robotics (Reinforcement Learning), Multi-modal
Deep Learning: Applications
Industrial Applications, Law, Ethics, Current Debates
For anybody and everybody!
Business professionals: who wish to have a clear understanding of what deep learning is capable of.
Students: who wish to increase visibility in what will be possible in years to come.
Fresh to junior engineers: who wish to increase exposure to opportunities created in our deep learning community.
Past Examination Results
Past Examinees Profiles
Corporate Group Entry Companies
NRI System Techno Co., Ltd. / NTT Communications Co., Ltd. / KDDI Technology Co., Ltd. / Stitch Co., Ltd. / Japan Oil, Gas and Metals National Corporation / Tokio Marine & Nichido Systems Co., Ltd. / Panasonic Solution Technologies Co., Ltd. / Hitachi Systems, Ltd. / Marui Group Co., Ltd. / YASKAWA Electric Corporation
Company providing exam fee subsidy to their employees
NTT Docomo Inc.
NTT Communications Co., Ltd.
(Left) Mr.Tsubota, ICT Consulting Div. Planning Mgr.
(Right) Mr. Yamamoto, Solution Services Div. Planning Mgr.
Our ICT Consulting Dept. has been investing in developing talents who can provide consultative proposals on Digital Transformation (DX) in the coming AI-native Era. Those members who went through the G-Certificate examination process gained highly practical knowledge not just on what’s possible in AI-leveraging business transformation, but also on what needs to be considered in terms of security and cloud infrastructure in AI application. Such knowledge has been a vital added-value in our discussion with our clients.
I believe what’s covered in G-Certificate is the exact kind of knowledge project managers and solution architects need to have in order to solve management issues of our clients. The knowledge learned in the G-Certificate exam will be the foundation and by further acquiring analysis/implementation skill-set essential to data utilization, I would like to further contribute to materialising our clients’ DXs.
* DX = Digital transformation
NRI System Techno Co., Ltd.
(Left) Mr. Kikuchi, HR Dept. General Mgr.
(Right) Mr. Okumura, Digital Biz. Planning Dept. Associate Section Mgr.
Our company, NRI System Techno, has been sending our engineers since 2018 to take the JDLA E-Certificate (Deep Learning for ENGINEER) as a part of their training.
In that process, we have come to think more and more strongly that it is vital for them to be able to see and think how the technology can be connected to and be a use in business conduct, in order for them to expand their opportunities to use their acquired skills.
That is why we have started to endorse taking the JDLA G-Certificate as well to them since 2019.
Originally, we were expecting our young engineers to be taking up the opportunity, but to our surprise, we are getting many of our executives, managers, and project leaders actively taking on this challenge.
Account managers and project managers getting Deep Learning knowledge creates great potential for us to be able to propose highly specific and feasible proposals which meet our clients’ needs pin-pointedly.
Managers who have a deep understanding of clients’ businesses are also helped greatly by becoming G-certified because they now have much better visibility in how the technology can be value to the client and how it can be implemented and fully-utilized.
We expect young engineers to use the G-certificate exam as a vantage point to improve their engineering skills and want managers and leaders to be the central person in solving issues internally and externally knowing what’s possible with deep learning.
Testimonials of the G-Certified
System Consultant in Printing Business
“My company is switching its business model to an AI-oriented one, and I have decided to transform myself from a system engineer/consultant to an AI consultant. For that, I started studying artificial intelligence-related technologies from scratch. All the concepts and ideas of Deep Learning were interesting and fun to learn. Thanks to the G-Certificate, I could comprehensively learn from the basics. We currently have 3 G-certified members in our company and we are promoting it company-widely. It is great that as a result, we are getting a common language with which we can talk about AI.”
High School Student
“Well-known mathematician John E. Littlewood stated the following: “Exam is not really math, it’s just a skillful game that you have to win to move on to the next level.”. I think the G-Certificate exam is exactly this. It cannot claim itself as an absolute testament of skills and essence of a true AI engineer, but I think it is a fairly good introductory exam for deep learning and a good place to start. If you can understand multivariable calculus, differential equations, and linear algebra beyond the undergrad level, you should be able to do well.”
ICT System Development /Product Planning
“I am currently in charge of product development of an “image-using anomaly detection system” which utilizes deep learning. I decided to take the exam to assess my own knowledge level and to see if I could use it to train my team members. Since the scope of the exam is very broad, I was able to deepen my knowledge and rediscover many things by studying for the exam, which gave me a great insight. As the field is still in its infancy, I believe that taking the exam on a regular basis will help me gain new insights.”
“I took the exam to check my understanding of the subject. The exam covered not only deep learning, but also a wide range of topics from the theory of statistical machine learning to world trends, and in a good way, it betrayed my expectations. I also received a commendation for my excellent performance, which made me stand out in the company, and now I am in a position to recommend the G-Certificate to others and to teach them.”
“At the time, I was looking for a new job with the dream of becoming an AI engineer, and the purpose of taking the G certification test was to appeal for a new job. Most of the jobs for AI engineers were for experienced people, which was very tough for someone with no experience. However thanks to the knowledge I learned when I took the G exam, I was able to talk about things related to AI during the interview. I managed to get a job offer. I’m very happy.”
ICT System Construction /Application Engineer
“From managers to engineers to data scientists, the G-Certificate exam is very useful. First of all, the scope of study is broad, and you need to learn the whole thing comprehensively. Even if you don’t take the exam, just studying for it will be very useful for your future work. Once passing the exam and being certified , you can appeal your technical ability and knowledge. JDLA and its G-Certificate exam are getting more and more recognition and popularity and certification from a third party is very important. There is a place for those who have passed the exam to communicate with each other, which allows for interaction and motivation to further improve one’s technical skills. Deep Learning is a fundamental technology for future system development, so I would definitely recommend the G-Certificate.”
JDLA (Japan Deep Learning Association)
JDLA is a highly unique institution established by a collection of the very frontline academic experts and start-up founders having deep learning as their business core technology.
Its ecosystem involves an extensive number of large corporations keen to cultivate a deep learning talent pool and also has many individual evangelists who incuvate many self-governed initiatives and projects around the community.
The association has been earning strong trust from governmental institutions, ministries as their partners in strengthening industries around the nation, and its global network is ever expanding.
The certificate exams created by such an entity is, hence, a highly condensed cumulation of leading edge knowledge and insights and being certified by the exam will not just give an accreditation, but also an entry to join an ever-growing community abundant with future opportunities.
We take on various activities as our collective projects to catalyze healthy development of the industry.
ChairpersonProf. Yutaka Matsuo,
Graduate School of Engineering, The University of Tokyo
Founded on2017 June 1
MissionTo connect deep learning technology capabilities to fostering of Japanese industries’ competitiveness.
Core ActivitiesPromoting industrial applications of the technology
Development of deep learning talents
Cultivating international alliances/collaborations
Facilitating social dialogue on the technology
Companies that has deep learning related businesses as their core business.
Regular members ( Companies )
Ph.D., Center for Information Science, Tokyo Woman’s Christian University
Associate Professor at Information Systems Architecture Science Research Division, and Deputy Director of Grace Center, in National Institute of Informatics, Tokyo, Japan
Project Assistant Professor, Institute for Future Initiatives, The University of Tokyo
Professor, Graduate School of Information Sciences, Tohoku University
Professor, Department of Intermedia Art and Science,
School of Fundamental Science and Engineering, Waseda University
Lawyer, Storia Law Office, P.C.
Head of the Systems Biology Institute; President and CEO of Sony Computer Science Laboratories
Google Brain Researcher
Research Fellow, PHP Institute, Inc.
Lawyer, Uchida & Samejima Law Firm
Institute of Engineering Innovation, The University of Tokyo
President, Sapporo City University
Professor, Department of Robotic Science and Technology, Chubu University
Project Associate Professor, Department of Technology Management for Innovation, Graduate School of Engineering, The University of Tokyo
PFN Fellow, Preferred Networks, Inc.
Associate Professor, Department of Computer Science, Chubu University
Corporations that agree with the activities of this association.