CDHK Lehre (ed.): 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  - Shanghai 14.-17.10.2018

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: 2018
PERM. URL: http://gcc.upb.de/CDHK/Blockseminar/CDHK-K_Pool.nsf/index/WINFO-2018
 
GCC's Wirtschaftsinformatik-Workshops at CDHK/Tongji Shanghai 2006 - 2018: Database 'CDHK K-Pool', View 'GCCNC_ThemesCompact', Document 'Blockseminare / Workshops Information Management' AGENDA & IMPRESSIONEN, Photos, Videos
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DI 16.10. 08:30-12:00
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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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    3.3. DL Concepts (DL Tutorial, Feed Forward & Backpropagation, Convolution & Convolution Tutorial, DL Glossary)
    3.4. Speech and Sound
    3.5. Tutorial / Survey: Current DL Network types, Imagenet Winners, Live Demos (ConvNetJS Autoencoder, ConvNet Visual Recognition, Image Kernels visualization)
    3.6. DL Godfather Geoffrey Hinton finally says: Start it all over – especially backpropagation!
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    4. Trends, Applications and Society
    4.1. Business (DL Startups, Marketing, Fraud Prevention, ...) > Amazon Ecosystem
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    LOG/Protokoll Di 16.10.2018
  • AI/DL-PREZI "3. Theory, Research - Deep Learning Core" > "3.3 DL Concepts" bis "3.7 DL Godfather Hinton says: Start it all over"
  • Schwerpunkt: Verschiedene Aspekte des "Convolution"-Ansatzes in Deep Learning Neural Networks
  • AI/DL-PREZI "4. Trends, Applications, Society" > 4.1 Business > amazon Ecosystem
  • Demo und Diskussion der Neural Net Visualisierung auf dem "TensorFlow Playground" http://playground.tensorflow.org/
  • Gesucht dazu: Eine ausführliche(re) Dokumentation dieser exzellenten interaktiven Web-Demo

    Diskussionen/Themen ..
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