I used the 'KAN Conv MLP2' architecture as outlined in the referenced paper. The authors developed this architecture through trial and error process. However, you have the flexibility to tweak this architecture's hyper-parameters to better fit your specific needs. For more detailed information, you can review the paper (arxiv.org/pdf/2406.131559).
Finally, Had been waiting for 2 months.
Great video!
Glad you enjoyed it
Great video! How did you calculate the number of input features for the linear layer? Why is it 625?
I used the 'KAN Conv MLP2' architecture as outlined in the referenced paper. The authors developed this architecture through trial and error process. However, you have the flexibility to tweak this architecture's hyper-parameters to better fit your specific needs. For more detailed information, you can review the paper (arxiv.org/pdf/2406.131559).
Precise