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Why does the output of the function 'neural_net_vessel1' go to the exponential of A?
The valuable and enlightening research. and I've got a question to consult you.
Why does the output of the function 'neural_net_vessel1' go to the exponential of A ?
As follows,
def neural_net_vessel1(self, x, t):
Au = self.neural_net(tf.concat([x,t],1),self.weights1,self.biases1,self.layers)
A = Au[:,0:1]
u = Au[:,1:2]
p = Au[:,2:3]
return tf.exp(A), u, p
I'm looking forward to your reply soon.
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