From f4ae0cc379cc44ca9e616e30ddb373b0e0ded343 Mon Sep 17 00:00:00 2001 From: Marcio Vinicius dos Santos Date: Fri, 22 Dec 2017 09:43:30 -0800 Subject: [PATCH] Update tensorflow_resnet_cifar10_with_tensorboard.ipynb --- .../tensorflow_resnet_cifar10_with_tensorboard.ipynb | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/sagemaker-python-sdk/tensorflow_resnet_cifar10_with_tensorboard/tensorflow_resnet_cifar10_with_tensorboard.ipynb b/sagemaker-python-sdk/tensorflow_resnet_cifar10_with_tensorboard/tensorflow_resnet_cifar10_with_tensorboard.ipynb index 78fc103ce1..6fbf372840 100644 --- a/sagemaker-python-sdk/tensorflow_resnet_cifar10_with_tensorboard/tensorflow_resnet_cifar10_with_tensorboard.ipynb +++ b/sagemaker-python-sdk/tensorflow_resnet_cifar10_with_tensorboard/tensorflow_resnet_cifar10_with_tensorboard.ipynb @@ -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", @@ -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)**." ] }, {