AWS Machine Learning Blog

Training and inference are crucial components of a machine learning (ML) development cycle. During the training phase, you teach a model to address a specific problem. Through this process, you obtain binary model files ready for use in production. For inference, you can choose among several framework-specific solutions for model deployment, such as TensorFlow Serving […]

When you run predictions on large datasets, you may want to drop some input attributes before running the predictions. This is because those attributes don’t carry any signal or were not part of the dataset used to train your machine learning (ML) model. Similarly, it can be helpful to map the prediction results to all […]

Apache MXNet is an open-source deep learning software framework used to train and deploy deep neural networks. Data scientists and machine learning (ML) developers love MXNet due to its flexibility and efficiency when building deep learning models. Amazon SageMaker is committed to improving the customer experience for all ML frameworks and libraries, including MXNet. With the latest release of […]

The AWS DeepRacer League is the world’s first global autonomous racing league, open to anyone. Developers of all skill levels can compete in person at 22 AWS events globally, or online via the AWS DeepRacer console (no car required), for a chance to win an expenses paid trip to re:Invent 2019, where they will race […]

Loro is a socially assistive robot that helps users with physical limitations to more robustly experience their worlds by assisting with seeing, sensing, speaking, and interacting with surroundings.  Loro uses a range of AWS artificial intelligence (AI) and especially machine learning (ML) services to enable its broad range of use cases. Wheelchair users and others […]

With Amazon SageMaker Ground Truth, you can build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks. Additionally, SageMaker Ground Truth can lower your labeling costs by up to 70% using automatic labeling, […]

The AWS DeepRacer League is the world’s first global autonomous racing league, open to anyone. Developers of all skill levels can compete in person at 22 AWS events globally, or online via the AWS DeepRacer console, for a chance to win an expense paid trip to re:Invent 2019, where they will race to win the […]

Keras is a popular and well-documented open source library for deep learning, while Amazon SageMaker provides you with easy tools to train and optimize machine learning models. Until now, you had to build a custom container to use both, but Keras is now part of the built-in TensorFlow environments for TensorFlow and Apache MXNet. Not […]

You can use chatbots for automating tasks such as scheduling appointments to improve productivity in enterprise and small business environments. In this blog post, we show how you can build the backend integration for an appointment bot with the calendar software in Microsoft Office 365 Exchange Online. For scheduling appointments, the bot interacts with the […]

The AWS DeepRacer League is the world’s first global autonomous racing league, open to anyone. Developers of all skill levels can compete in person at 22 AWS events globally, or online via the AWS DeepRacer console, for a chance to win an expense paid trip to re:Invent 2019, where they will race to win the […]