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fchollet authored and SuryanarayanaY committed Jan 19, 2024
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4 changes: 2 additions & 2 deletions guides/ipynb/intro_to_keras_for_engineers.ipynb
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"## How to distribute training\n",
"\n",
"- [Guide to distributed training with TensorFlow](http://keras.io/guides/distributed_training_with_tensorflow/)\n",
"- [JAX distributed training example](https://github.com/keras-team/keras/blob/main/examples/demo_jax_distributed.py)\n",
"- [PyTorch distributed training example](https://github.com/keras-team/keras/blob/main/examples/demo_torch_multi_gpu.py)\n",
"- [JAX distributed training example](https://github.com/keras-team/keras/blob/master/examples/demo_jax_distributed.py)\n",
"- [PyTorch distributed training example](https://github.com/keras-team/keras/blob/master/examples/demo_torch_multi_gpu.py)\n",
"\n",
"Enjoy the library! 🚀"
]
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4 changes: 2 additions & 2 deletions guides/md/intro_to_keras_for_engineers.md
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Expand Up @@ -502,7 +502,7 @@ the power and usability of `fit()`? It's easy to customize
## How to distribute training

- [Guide to distributed training with TensorFlow](http://keras.io/guides/distributed_training_with_tensorflow/)
- [JAX distributed training example](https://github.com/keras-team/keras/blob/main/examples/demo_jax_distributed.py)
- [PyTorch distributed training example](https://github.com/keras-team/keras/blob/main/examples/demo_torch_multi_gpu.py)
- [JAX distributed training example](https://github.com/keras-team/keras/blob/master/examples/demo_jax_distributed.py)
- [PyTorch distributed training example](https://github.com/keras-team/keras/blob/master/examples/demo_torch_multi_gpu.py)

Enjoy the library! 🚀
1 change: 1 addition & 0 deletions scripts/examples_master.py
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"path": "randaugment",
"title": "RandAugment for Image Classification for Improved Robustness",
"subcategory": "Data augmentation",
"keras_3": True,
},
# Image & Text
{
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