Lê Hải Sơn
Lê Hải Sơn
> One of my friend is doing the same thing with [GPR](https://scikit-learn.org/stable/modules/gaussian_process.html#gaussian-process-regression-gpr). But it is very hard to implement this in PINNs without the reconstruction loss. I also trying to...
Instead of using the matrix form, I think you just need to derive that 2x2 matrix into 2 equations.It means you will have 2 residuals. Plz following the tutorial.
@Wolpes11 I also met a similar problem...I have a lot of experimental data and I can not fit it all into the memory...For the normal ANN in Tensorflow.Keras, we can...
> Thank you @haison19952013 ! Yes, I had a look at the source code. However, what makes me puzzled is that the entire data set actually fits in memory (it...
@AHDMarwan For example, I want to do the 2 step training: Adam then L-BFGS, so I have to do something like below? variable = .... model.compile("adam", lr=1e-3/1,external_trainable_variables=[...]) losshistory, train_state =...
Let's use some mathematics to overcome this problem. For example, you can use the chain rule to compute dy'/dt' as followings: - dy'/dt' = dy'/dy * dy/dt * dt /...
> @gunewar I believe specifying the normalizer when creating the `TimeSeriesDataSet` fixed it for me > > ``` > training = TimeSeriesDataSet( > ... > target_normalizer=TorchNormalizer(method='identity', center=True, transformation=None, method_kwargs={}), >...
> > @gunewar I believe specifying the normalizer when creating the `TimeSeriesDataSet` fixed it for me > > ``` > > training = TimeSeriesDataSet( > > ... > > target_normalizer=TorchNormalizer(method='identity',...
> Implementing in TensorFlow is tricky, as it is static graph. It should be much easier to implement in pytorch, where you can directly change the `loss_weights` value. - It...
> Hi, if we define `loss_weights` as `Variable`, no need to compile several times, right? > > Next, we have to define appopriately the [total_loss]https://github.com/lululxvi/deepxde/blob/85920299331bd7c0bad01f3d2abba442a77c89c6/deepxde/model.py#L244. - My [last response] (https://github.com/lululxvi/deepxde/pull/1586#issuecomment-1920529102)...