Understanding convolution on graphs via energies
Francesco Di Giovanni, James Rowbottom, Benjamin Paul Chamberlain et al.
Action editor: Guillaume Rabusseau.
#convolutions #convolutional #Graphs
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems
#lattice #lattices #convolutions
Understanding convolution on graphs via energies
#convolutions #convolutional #Graphs
I am having some issues with customization in tensorflow. I am trying to do my own thing in Conv2D, and I would like to know what is the actual shape of self.kernel.
I think it's (k_size_h, k_size_w, channel_in, channel_out), this is enough for everything the layer must do, but I'm getting errors hinting my understanding is wrong and this might be one of the things I'm wrong about.
I'm seeing the problem in the output shapes actually...
#help #tensorflow #Keras #convolutions
Deformation Robust Roto-Scale-Translation Equivariant CNNs
Liyao Gao, Guang Lin, Wei Zhu
'ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction', by Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma.
http://jmlr.org/papers/v23/21-0631.html
#convolutions #convolutional #discriminative
#convolutions #convolutional #discriminative
As someone knowing almost nothing about convolutions #3blue1brown 's video about #convolutions is just amazing. From a visual standpoint but also in the way the topic is explained. Clear, concise and beautiful.