jeremylinux / pytorch-radial-basis-function-layer Goto Github PK
View Code? Open in Web Editor NEWAn implementation of an RBF layer/module using PyTorch.
License: MIT License
An implementation of an RBF layer/module using PyTorch.
License: MIT License
This is should be ||x - c|| / sigma, right?
Hello, I wonder if there is a way how to check the model accuracy .... Thank you for this amazing code it really motivates me to visualize the radial basis functions.
Hi i'm glad i found this RBF implementation. thanks for writing it. Here's my linear model prediction so far. how do start using yours?
class Net(torch.nn.Module):
def init(self, n_feature, n_hidden, n_output):
super(Net, self).init()
self.hidden = torch.nn.Linear(n_feature, n_hidden) # hidden layer
self.predict = torch.nn.Linear(n_hidden, n_output) # output layer
def forward(self, x):
x = F.relu(self.hidden(x)) # activation function for hidden layer
x = self.predict(x) # linear output
return x
Hi ! I'm new to Pytorch and I'm looking for a way to accelerate the RBF interpolation. Has this been made available to compute on a GPU ?
Thanks
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