CDHK Lehre (ed.): Webinar/Workshop Agenda: Cognitive Computing, Machine Intelligence, and Deep Learning Neural Networks - Current state of the art and impacts of AI on business, management, manufacturing, automation and society - CDHK Tongji, 同济大学  - Online Tencent VooV Meeting Oct-Dec 2022

Goal: Conveying to students the broader picture and current state oft the art of the fast changing areas currently defined by cognitive computing, machine learning, artificial intelligence, and - especially – deep learning neural networks. The depth of discussion is on the level of a survey, introd...

THEMES: CDHK Lehre\GCC Workshop 2...
META STRUCTURES: CDHK\Agenda Worksho... | Website\K-Pool
YEAR: 2022
PERM. URL: http://gcc.upb.de/CDHK/Blockseminar/CDHK-K_Pool.nsf/index/WINFO-2022
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User: Anonymous

LABEL: AI - Artificial Intelligence | Cognitive Computing | DL - Deep Learning | Encryption | Image Recognition | k-Pool | Knowledge Management | MatLab | MI - Machine Intelligence | Mobile Applications | Neural Networks | Torch | Watson | Wissensmanagement
ORGANIZATIONS: CDHK - Chinesisch-Deutsches Hochschulkolleg | GCC - Groupware Competence Center | University - Tongji Universität Shanghai | Universität Paderborn - University of Paderborn
PEOPLE: Huang, Guanwei | Nastansky, Ludwig
PLACES: China | Paderborn | Shanghai
THINGS: Blockveranstaltung | Informationsmanagement | Workshop
TIME: 2022
 
GCC's Wirtschaftsinformatik-Seminars at CDHK/Tongji Shanghai 2006 - 2019: Database 'CDHK K-Pool', View 'GCCNC_ThemesCompact', Document 'Blockseminare / Workshops Information Management' AGENDA & IMPRESSIONS - Photos, Videos
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Thema /
Topic
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.Tagesablauf / Agenda
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Beschreibung / Description
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Lehrunterlagen
& Übung /
Resources
Klassenraum: Vorlesung, Übungen, Gruppenarbeit / Class
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    3. Concepts - Theory – Research
    3.1. The „Dark Ages“ of DL – Lessons of Perseverance in Research
    3.2. People: Network of Researchers Driving DL(amongst others: Geoffrey Hinton, Yann LeCun, Joshua Bengio, Andrew Ng, Jürgen Schmidhuber, Fei-Fei Li, Kai-Fu Lee)


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Some of the people who made DL happen !
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Oct 21, 2022
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    . 3.3. DL Concepts & Theory
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Topic 4.1 > China's AI Business Progress
Tagging & labeling images on a large scale:
No image recognition without this very, very extensive work of thousands of people.
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Oct 21, 2022


DL Application
(Topic 4.3. Health):
Screening App for
"ASD - Autism Spectrum Disorder"
As complementary info see: Topic 4.1 Business>Marketing>Affective Computing)
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    3.4. Speech, Sound,Language, NLP
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    ASS example: The Beatles
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    NLP example:
    Was this fiction narration really written by Huawei's PANGU-@ AI-System ?
    Yes, it was !
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    And this is what openAI's Dall-E
    thinks? / dreams? / invents? / artistically paints ?
    when prompted for "Shanghai streets" - after some 58 seconds work
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Oct 22, 2022
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      Discussion / Topics / Do it yourself
    • Demo und discussion of this excellent DL-net visualization on the TensorFlow Playground" http://playground.tensorflow.org/
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    • Meaning of the error rate in Imagenet competition: - "Top 5 test error rate" means: For a given image the DL-net does NOT rank the image under the top 5 classification categories (see AI/DL-PREZI "3.5 Tutorial / Survey DL Network types")
DL - FF and Backpropagation.xlsDL - FF and Backpropagation.xls
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