Lectures related to OSI model | EPFL Graph Search

Introduces deep learning, from logistic regression to neural networks, emphasizing the need for handling non-linearly separable data.

Covers homotheties, translations, and compositions of functions in geometric transformations.

Explores creating text and annotations in AutoCAD, including managing properties and working with layers.

Explores radiative exchange phenomena, covering incident radiation, spectral transmittance, and predictions from electromagnetic wave theory.

Covers the motivation and architecture of convolutional networks, from LeNet to AlexNet.