Consulting
(L)earning dynamics:
(A)ctivation dynamics:
(A)ctivation dynamics:
- Which machine learning algorithm is most suitable for a given learning task?
- How to generate initial conditions?
- Which loss function should be used?
(A)ctivation dynamics:
(A)ctivation dynamics:
(A)ctivation dynamics:
- Which neural architecture is most appropriate for a given learning task?
- How to execute activation map?
- Which activation functions should be used?
(B)oundary dynamics:
(A)ctivation dynamics:
(B)oundary dynamics:
- Which training data are most relevant for a given learning task?
- How to update the training data?
- Which data should be used for testing?
