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Hi,
Leaving this here in case someone is also trying to convert to a TF lite model.
From the keras_cv documentation:
```
!pip install --upgrade keras-cv
!pip install --upgrade tensorflow
```
…
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It is a really impressive work, however I meet the following problem, it seems that there is something with the size, but I just follow the README.
nohup ./scripts/train_clevr.sh /home/hjz/hjzfolder/…
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The recommended path for pruning with a custom training loop is not as simple as it could be.
```
pruned_model = setup_pruned_model()
loss = tf.keras.losses.categorical_crossentropy
optimizer …
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Works in Keras 2 but not in Keras 3.
```python
!pip install keras-nightly -q
import tensorflow as tf # 2.15
import keras
from keras import layers
import numpy as np
keras.__version__ # 3.0.…
innat updated
4 months ago
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As mentioned keras-team/keras-core#843, I was trying further modify the mlm-bert pipeline for keras-core with backend-agnostic support. The last part of the example tries to create an end-to-end pipel…
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The below error appeared in https://github.com/abr/neurips2019/blob/master/experiments/psMNIST-phased-lstm.ipynb
[This has been reported as a keras issue with a suggested workaround.](https://githu…
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I've trained this model sucessfully on Windows 10 and Ubuntu with no issues, however when attempting to train on an Azure notebook server I get the following error:
```
---------------------------…
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I am trying to use CRF layer with multiple GPU training via
from keras.utils import multi_gpu_model
from keras_contrib.losses import crf_loss
from keras_contrib.metrics import crf_v…
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Traceback (most recent call last):
File "vrn_torch_to_keras.py", line 159, in
model = model(t)
File "vrn_torch_to_keras.py", line 123, in model
l = add_conv(64, get(t, 3), l)
File …
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I am a developer of tensorflow [recommenders-addons](https://github.com/tensorflow/recommenders-addons) and I now need to develop an all-to-all embedding layer for multi-GPU distributed training of re…