Sagemaker.MXNet is a Python library that provides an interface for utilizing the MXNet deep learning framework within the Amazon SageMaker service. It allows developers to efficiently build, train, and deploy machine learning models using MXNet, which is known for its scalability and efficiency in training deep neural networks. With Sagemaker.MXNet, users can take advantage of built-in features such as distributed training, automatic model tuning, and real-time model hosting, making it easier to build and deploy high-performance deep learning models on the cloud.
Python MXNet - 40 examples found. These are the top rated real world Python examples of sagemaker.mxnet.MXNet extracted from open source projects. You can rate examples to help us improve the quality of examples.