Course/Event Essentials
Event/Course Start
Event/Course End
Event/Course Format
Online
Live (synchronous)
Primary Event/Course URL
Training Content and Scope
Scientific Domain
Technical Domain
Level of Instruction
Intermediate
Advanced
Sector of the Target Audience
Research and Academia
Industry
Public Sector
Other (general public...)
HPC Profile of Target Audience
Application Users
Application Developers
Language of Instruction
Other Information
Organiser
Supporting Project(s)
EuroCC2/CASTIEL2
Event/Course Description
Course contents:
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Theoretical introduction to the issue (Principles of artificial intelligence and continuous learning)
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Basics of TensorFlow (syntax, graphs, variables...) and SciKit Learn library
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Tensorflow – models, activation functions, loss functions, layers, initializers,
metrics, callbacks, optimizers...
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Importing data
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Examples of classification and regression models
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Text classification
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Image classification by a convolutional neural network
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Design, selection and evaluation of different models