Introduction to Deep Learning (I2DL 2023) - 10. Architectures

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Introduction to Deep Learning (I2DL) - Lecture 10
TUM Summer Semester 2023
Prof. Niessner
  1. Matthias Niessner
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Комментарии
Автор

for calculating parameters of a particular layer, we do consider he size oof kernal (including depth) which i guess the professor missed! for example in vgg : for first layer - (3X3X3 + 1) * 64 for first layer and (3X3X64 + 1) *64 for the second layer.

ritikkothari
Автор

i wonder in the AlexNet (e.g. 1st conv layer) example, should the kernels be labelled as 11x11x3 due to the RGB, unless the usage of blue colour layers in all the stages signifies that this is only an illustration for the B layer?

weelianglien