Introduction to Neural Networks - Part 3: Convolution Neural Networks (Cyrill Stachniss, 2021)

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Introduction to Neural Networks - Part 3: Convolution Neural Networks
Cyrill Stachniss, 2021

#UniBonn #StachnissLab #robotics #computervision #neuralnetworks #lecture
  1. Cyrill Stachniss
  2. robotics
  3. photogrammetry
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Комментарии
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Very nice introduction to CNN. Thank you.

sweemok
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So the convolutions weights are learned in the same manners as the MLP layers? The pooling operators don't seem to be differentiable so how can we compute gradients in the back propagation step?

wayneosaur
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SDG = SGD (stochastic gradient descent) I assume (?)

wayneosaur
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You teach only theory ? You know some good resources for implementing them ? Testing new model architectures ?

codeWithBatta