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Hello, everyone. I would like to ask if I can create neural network models with multiple inputs and mixed data inputs by DEEPXDE.
the next is a demo of deepxde (Inverse problem for the Poisson eq…
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Hi, I wonder if Multi-fidelity neural network with uncertainty quantification can be implemented as below:
dropout_rate = 0.01
net = dde.nn.MfNN(
[4] + [20] * 4 + [1],
[20] * 3 + [1],
…
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After doing a [function approximation](https://github.com/lululxvi/deepxde/blob/master/examples/function/func.py) is it possible to compute gradients using the trained network.
Here is what I am t…
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Hi @lululxvi ,
I cant seem to find a way to get the outputs of each layer as either a callback or some way to write them on to a file. Thanks in advance
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Dear Patrick,
Thanks for this library, it's pretty neat!
I'm currently supervising a bachelor's students thesis on NeuralODEs, and we've been meaning to use `diffrax` to study delay differentia…
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Dear All, I have a question of using the implementation of PFNN from [https://github.com/lululxvi/deepxde/pull/96](https://github.com/lululxvi/deepxde/pull/96)
For 2 neural networks (NN1, NN2) of u…
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Hello! Could you possibly add to the README instructions on how to replicate the results in your PNAS paper? Also, `fit_n.py` loads several `.dat` files that I don't see in `src/`. Are they available …
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I'm trying to solve the Black-Scholes pde but when I was in the part of dde.saveplot, I got an error about dimensions.
The following is the code.
`import matplotlib.pyplot as plt
import numpy as np…
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Hello Dr. Lu,
I'm trying to implement a 2D pressure equation to solve single-phase flow in homogeneous porous media in DeepXDE, but I have some doubts about the Neumann boundary conditions definitio…
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I am trying to solve the ODE equation based on a model that modifies the glycolysis reaction, but the loss function keeps reporting nan and I can't get the result, even if I set the loss_weights of th…