Title | Convolutional Neural Networks | ![]() |
Duration | 60 min | |
Module | B | |
Lesson Type | Tutorial | |
Focus | Technical - Deep Learning | |
Topic |
Deep learning |
CNN,Deep Learning,Python,
None.
The materials of this learning event are available under CC BY-NC-SA 4.0.
This Tutorial covers fundamental CNN development, training and testing. Three different tutorial implemented in form of Jupyter Notebook will be shown and discussed. In particular:
Duration (min) | Description | Concepts | Activity | Material |
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20 | Implementing and training a simple CNN | |||
20 | Fine tuning of an already trained network | |||
20 | load and save architectures |
Click here for an overview of all lesson plans of the master human centred AI
Please visit the home page of the consortium HCAIM
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The Human-Centered AI Masters programme was co-financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068. The materials of this learning event are available under CC BY-NC-SA 4.0
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The HCAIM consortium consists of three excellence centres, three SMEs and four Universities |