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.ubc.ca/~lowe/teaching/cs425/slides/4-features.pdf
This lecture explores methods for detecting keypoints and features in images, and how to match them across different views.
Feature DetectionFeature MatchingKeypoints
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