Title | Hyperparameter tuning | ![]() |
Duration | 60 min | |
Module | B | |
Lesson Type | Lecture | |
Focus | Technical - Deep Learning | |
Topic |
Hyperparameter tuning |
Hyperparameter tuning, activation functions, loss, epochs, batch size,
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The materials of this learning event are available under CC BY-NC-SA 4.0.
Duration (Min) | Description |
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5 | Overview of the data |
10 | Capacity and depth tunning (under and over fitting) |
10 | Epochs (under and over training) |
10 | Batch sizes (for noise suppression) |
10 | Activation functions (and their effects on performance - time and accuracy) |
10 | Learning rates (vanilla, LR Decay, Momentum, Adaptive) |
5 | Recap on the forward pass process |
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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 |