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i try to import ResNet.
`import deepxde as dde`
`import tensorflow as tf`
`net = dde.nn.tensorflow_compat_v1.ResNet(2, 1, 50, 3, "tanh", "Glorot uniform")`
but
`AttributeError:` module 'deepxde…
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I'm getting
```
2024-09-22 12:27:06.399885: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical opera…
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Hello,
it seems that the efficientnetL2 is having problem
i tried to load model but i got an error for both imagenet and noisy student checkpoint
the error message is something like this (i de…
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Hello,
I read the corresponding publication to your code and landed here.
In following your instruction for installation, I repeatedly arrive at the same error at the point of "check installation" …
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Hello,
I am using the zero_inflated_lognormal_loss function as described in the regression notebook. I haven't changed anything in the book. I just changed the input data to be my own but the forma…
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Hey guys,
I am working on a project and try to use the SegNet architecture - and as I want to work on local host and on a distributed multi-server environment (got access to some GPUs) I want to wo…
ghost updated
4 years ago
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Currently we use DL4J for serving Keras models.
For the "old" multi-backend Keras, this is pretty robust.
For TensorFlow 2.0 Keras models, they may include general TF ops (not just Keras layers) tha…
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Hello Everyone,
Could you pleas help me out with the error display above while running the following code:
My Keras version is '3.3.3.dev2024060803'
import tensorflow as tf
import numpy as np…
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Hello, I want to use the UNet of Segmentation Model, I tried VGG and effnetB3 to add backbone. I wonder if I can add my own Keras feature extraction model. For example ;
`feature_extract_model …
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The numpy API is not directly compatible with `tf.function`. The code needs to be restructured first. A first step to deal with this is to make no numpy calls a refactoring precondition. Otherwise, we…