Google TensorFlow Workshop of the Education
Collaboration for Tearchers in GBA was held on 17th May 2019 in
Guangzhou Higher Education Mega Centre.
This workshop aimed to introduce Google Education Program and TensorFlow
technology and skills, share practices between Google and University, and
discuss a better education collaboration with teachers in Guanzhou-Hong
Kong-Macao. I was honor to be invited to attend this workshop after Google AI
Teacher Camp in Jan 2019. We took a
group photo during the break.
I met Dr. Ray Cheung
(Director, CityU Apps Lab) and Prof. Francis Wong Man-leung (Associate
Professor & Head, Department of Computing & Decision Sciences, Lingnan
University).
I took photo with CityU
group included Mr. Huang Sizhu (黃思待) (PhD student in
CS Dept., CityU) and Dr. Ray Cheung.
Firstly, I went to the
venue in School of Software Engineering, South China University of Technology (華南理工大學).
But the location was changed to Southern Club Hotel
Business Class (南国会国际会议中心) near Guangdong Pharmaceutical University (广东药科大学).
I took a photo with Google
two speakers – Mr. Choozen Wan (Program Manager, University Relations and
Education in East Asia, Google) and Mr. Song Zhe (宋哲) (Software
Engineer of Google Shanghai).
The first speaker was Mr. Choozen Wan (Program Manager, University Relations and Education in East Asia, Google) and he introduced the most updated services of Google named Google Lens (unlock visual magic) which combined Assistant, Photos and Camera.
He also demonstrated some videos using mobile only with voice included Live Transcribe, Live Relay and Live Caption. And then briefed new Android for 5G and NEST Hub Max features.
Mr. Choozen Wan started the
topic named “Introduction of Google Education Program”. Google had signed MoU with Education Bureau
in China for 5 years to promoting open source such as android, TensorFlow and
Blockly Games, etc.
For AI field, they considered AI Ethics, Principles, Fairness, Responsible and AI for Social Good. Now, their program had collaborated with China, Korea and Japan.
The Google Education Cooperation Program structure was introduced. (Google 中国教育合作项目 - http://gur.zucc.edu.cn/ )
Then he briefed the Industry and University collaboration project evaluation process as following diagram.
Mr. Song Zhe (宋哲) (Software
Engineer of Google Shanghai) was the second speaker and he introduced the
TensorFlow included BERT, OpenAI GPT and ELMo structures. He also mentioned improving brain MRI with AI
and TensorFlow in which using more than 35k images for training by GE
Healthcare.
Then he introduced the development
history of TensorFlow since 2015. Some
feedback from users on TensorFlow were discussed and it included “Simplify
API”, “Reduce Redundancy” and “Improve docs and examples”.
After that TensorFlow 2.0 alpha
Usability, Clarity and Flexibility were discussed. The training and deployment structure was
showed.
Finally, Mr. Song stated
training workflow with different open source program and database such as
tf.data and Keras, etc. He also
introduced different TensorFlow Datasets including audio, image, structured,
text, video, etc. (https://www.tensorflow.org/datasets/add_dataset)
The next session is “Best
practice sharing for education collaboration”.
The first invited speaker was Dr. Ray Cheung (Associate Professor, EE
Dept., CityU) and he shared his project.
He said that Digital Intelligence (DI) are Global Standards for Digital
Literacy, Kills, and Readiness.
Then he introduced CityU
Apps Lab and their project named “We Can Code” since Jan
2014.
After notice of the State
Council on Issuing the Development Plan on the New Generation of Artificial
Intelligence issued on July 2017, CityU arranged AI summer course for secondary
school.
Finally, Dr. Ray Cheung shared their Young HoC Instructors program to train the trainer based on the Protégé Effect.
The last speaker was Dr. Chen
Chunhua (陳春華) (华南理工大学软件学院) and his topic named “Public Training and Intelligent
Building” (眾育實訓與智慧建築).
Firstly, Dr. Chen shared their teaching status. He said the project for students had
continuity that student could catch the knowledge more solid and applicable.
He said student project needed to be Scenario (场景化) for
application and their teaching concept was from on-line to off-line.
Lastly, Dr. Chen shared
their Public Training Platform (http://cdx.micerlabs.com/#/home).
I used Ofo to go and back
between the venue and the Metro station in Guangzhou Higher
Education Mega Centre.
I thanked my cousin to lead
me to take Metro for this workshop in afternoon.
When I come back to Guangzhou
East Railway Station, it was so many people at 6:00pm.
Reference:
20190118: Google AI Teacher
Camp - https://qualityalchemist.blogspot.com/2019/01/google-ai-teacher-camp.html
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