Lec5
Training Neural Networks II: Weight Initialization(Activation Statistics, Xavier Initialization, Kaiming / MSRA Initialization, Residual Networks…), Overfits, Regularization, Regularization, Data Augmentation
Training networks
Lec2
Introduction of Neural Networks I,Deep Neural Networks, Activation Fuctions
Neural networks
Lec3
Introduction of Neural Networks II,Universal Approximation, Convex Fuctions.
1 Video & PDF
https://www.cs.cmu.edu/~16385/lectures/lecture01.pdf
Understanding how images are formed is crucial. This lecture covers the geometry of image formation, camera models, and different ways to represent digital images.
Image FormationCamera ModelsImage Representation
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