From 576c45144f015b2ce15976078e3e055711fcc187 Mon Sep 17 00:00:00 2001 From: Nihal Harish Date: Tue, 3 Dec 2019 16:06:44 -0800 Subject: [PATCH] Expand BYOC --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index fa86299a4..91d6220fa 100644 --- a/README.md +++ b/README.md @@ -99,7 +99,7 @@ Amazon SageMaker Debugger can be used inside or outside of SageMaker. There are The reason for different setups is that SageMaker Zero-Script-Change (via Deep Learning Containers) uses custom framework forks of TensorFlow, PyTorch, MXNet, and XGBoost to save tensors automatically. These framework forks are not available in custom containers or non-SM environments, so you must modify your training script in these environments. -See the [SageMaker page](docs/sagemaker.md) for details on SageMaker Zero-Code-Change and BYOC experience.\ +See the [SageMaker page](docs/sagemaker.md) for details on SageMaker Zero-Code-Change and Bring-Your-Own-Container (BYOC) experience.\ See the frameworks pages for details on modifying the training script: - [TensorFlow](docs/tensorflow.md) - [PyTorch](docs/pytorch.md)