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Hi, I'm using keras framework train a model, and tracing the parameters and metrics with MLFLOW like this:
import mlflow
import tensorflow as tf
import mlflow.tensorflow
mlflow.tenso…
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I am trying to use tensorflow serving to serve a keras bert model, but I have problem to predict with rest api, below are informations. Can you please help me to resolve this problem.
# predict out…
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**Describe the bug**
I have a major issue that I have seen in lot of the cases on other trial. The MLX training gives rarely a good performance while for torch and keras it is more stable and better.…
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```from tkat import TKAT
import numpy as np
import tensorflow as tf
N_MAX_EPOCHS = 100
BATCH_SIZE = 128
early_stopping_callback = lambda : tf.keras.callbacks.EarlyStopping(
monitor="val_lo…
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Trevor noticed that calling `train()` using the outer GAN model was calling the `train_step()` from the inner GAN.
We need to override the `train_step` of the models _**inside**_ the TF_CGAN, but …
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If anybody is like me on CUDA 12.7 and can't train a model on `keras v2` because is on `keras v3` you can do it via a docker image:
```
docker pull nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04
```…
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I trained on ferplus for four times, twice acc was 93% and twice ACC was 89%, what is the reason for this, when I trained on rafdb, the result was very stable at 95%
my train code：
>
import date…
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Hi @remicres !
The last week tensorflow released the [2.16.0-rc version](https://github.com/tensorflow/tensorflow/releases). One interesting point is that Keras 3 will be the default version. [Kera…
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### Issue Type
Documentation Feature Request
### Source
source
### Keras Version
Keras 2.13.1
### Custom Code
Yes
### OS Platform and Distribution
Linux Ubuntu 22.04
### Python version
3.9
…
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### Description of the bug
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[34], [line…