Awesome lecture! Here are the timestamps: 00:00 Intro (explanation of the convolution operation) 03:35 3 interesting healthcare apps (detecting skin cancer in dermatology, tumors, and diabetic retinopathy) 07:50 ConvNets, invariance vs equivariance 14:20 Group CNNs 26:10 Q&A around group CNNs 32:00 GCN 50:00 Conclusion/Q&A
Awesome lecture! Here are the timestamps:
00:00 Intro (explanation of the convolution operation)
03:35 3 interesting healthcare apps (detecting skin cancer in dermatology, tumors, and diabetic retinopathy)
07:50 ConvNets, invariance vs equivariance
14:20 Group CNNs
26:10 Q&A around group CNNs
32:00 GCN
50:00 Conclusion/Q&A
32:00 for graph convolutions.
I wonder if including further neighbours(distance of 2 edges) and multiplying them by W_2 will change anything. It would make a "kernel" bigger.
Hi… kindly help me out in developing a research topic in machine learning