Thursday, 5 July 2018

Amazon SageMaker now adds support for Tensor Flow 1.8 version and PyTorch

Amazon SageMaker is integrated with ApacheMXNet, Chainer deep learning framework, TensorFlow 1.8 and PyTorch which is now currently available. Pytorch is been recently added and TensorFlow is already integrated with SageMaker but now supports version 1.7 and 1.8. Using PyTorch with Amazon Sagemaker is convenient to use as any other pre-build deep learning frameworks. As PyTorch is integrated with Python, the customer will be using familiar Python control flows in their network. Pytorch has a unique technique called reverse mode auto differentiation that allows developers to build neural networks. 

No comments:

Post a Comment

Mastering Cloud Disaster Recovery: Best Practices and Real-World Strategies with AWS, GCP, and Azure

Introduction: In today’s fast-paced digital landscape, even a few minutes of downtime can result in significant financial loss, damaged repu...