Zoekresultaten voor “HCAIM”

Zoekresultaten (148)

HBO/WO

MBO

23 augustus 2023

Practical: SVMS and Kernels

To be able to design and use a linear SVM To be able to design ad use a non-linear SVM, using a kernel To design and optmize a SVM (cookbook approach)

Website

HCAIM Consortium

1 september 2023

Practical: Presenting statistical data

Understand and demonstrate the data representation for AI and ML modelling. Apply a range of plotting techniques to visualise data. Be able to check for fairness, handle outliers and missing data.

Document

HCAIM Consortium

23 augustus 2023

Tutorial: Forward propagation

Understand the process of a forward pass Understand how to calculate a forward pass prediction, as well as loss unplugged Develop a forward pass using no modules in Python (other than Numpy) Develop a forward pass using Keras

Website

HCAIM Consortium

23 augustus 2023

Tutorial: Project management

Find an optimal method for project management within your research project. Employ tools for effective Project Management. Implement methods for managing tasks and engaging stakeholders. Design a blueprint of idea-to-publish an HCAI research project.

Website

HCAIM Consortium

23 augustus 2023

Tutorial: Hyperparameter tuning

Investigate effects on capacity and depth Experient with varying epochs and batch sizes Trial different activation functions and learning rates

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HCAIM Consortium

23 augustus 2023

Tutorial: Regularization

Examine Weight initializers Investigate bias Apply dropout and noise Impliment callbacks Undertsand and implement a gridsearch Apply non traditional overfitting techniques

Website

HCAIM Consortium

23 augustus 2023

Lecture: Forward propagation

Understand the process of a forward pass Understand how to calculate a forward pass prediction, as well as loss unplugged Develop a forward pass using no modules in Python (other than Numpy) Develop a forward pass using Keras

Website

HCAIM Consortium

23 augustus 2023

Tutorial: Derivation and application of backpropagation

Develop an understanding of gradient and learning rate Derive backpropagation for hidden and outer layers Implimenting Backpropagation unplugged and plugged using different activation functions

Website

HCAIM Consortium

23 augustus 2023

Lecture: Derivation and application of backpropagation

Develop an understanding of gradient and learning rate Derive backpropagation for hidden and outer layers Implimenting Backpropagation unplugged and plugged using different activation functions

Website

HCAIM Consortium

23 augustus 2023

Lecture: Critically reviewing sources

student learn how to find sources and use the CRAAP-test to critically assess whether the sources are suitable and reliable for use in research

Website

HCAIM Consortium