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ResNet CIFAR 10 generates scalar data faster #154

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Dec 25, 2017
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ResNet CIFAR 10 generates scalar data faster #154

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4 changes: 3 additions & 1 deletion ...nsorflow_resnet_cifar10_with_tensorboard/tensorflow_resnet_cifar10_with_tensorboard.ipynb
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Expand Up @@ -116,6 +116,7 @@
"estimator = TensorFlow(entry_point='resnet_cifar_10.py',\n",
" source_dir=source_dir,\n",
" role=role,\n",
" hyperparameters={'min_eval_frequency': 10},\n",
" training_steps=1000, evaluation_steps=100,\n",
" train_instance_count=2, train_instance_type='ml.c4.xlarge', \n",
" base_job_name='tensorboard-example')\n",
Expand All @@ -137,7 +138,8 @@
"\n",
"It takes a few minutes to provision containers and start the training job.**TensorBoard** will start to display metrics shortly after that.\n",
"\n",
"You can access **TensorBoard** locally at [http://localhost:6006](http://localhost:6006) or using your SageMaker notebook instance [proxy/6006/](/proxy/6006/)(TensorBoard will not work if forget to put the slash, '/', in end of the url). If TensorBoard started on a different port, adjust these URLs to match."
"You can access **TensorBoard** locally at [http://localhost:6006](http://localhost:6006) or using your SageMaker notebook instance [proxy/6006/](/proxy/6006/)(TensorBoard will not work if forget to put the slash, '/', in end of the url). If TensorBoard started on a different port, adjust these URLs to match.",
"This example uses the optional hyperparameter **```min_eval_frequency```** to generate training evaluations more often, allowing to visualize **TensorBoard** scalar data faster. You can find the available optional hyperparameters [here](https://github.com/aws/sagemaker-python-sdk#optional-hyperparameters)**."
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Are the trailing "**" at the end of line 142 intentional? It's fine either way, but thought it might just be imbalanced markdown bolding.

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