Sep 12, 2020 · TensorFlow Lite for mobile and embedded devices For Production TensorFlow Extended for end-to-end ML components Swift for TensorFlow (in beta) ...
Offered by DeepLearning.AI. If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and ...
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Enterprise-ready and performance-tuned TensorFlow through containers and virtual machines. Instant cloud scale Automatic provisioning, optimizing, and scaling of resources across CPUs, GPUs, and Cloud TPUs.

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  • Later, Dale talks about how the cloud is used in healthcare to make data collection and sharing more efficient. The Google For Healthcare API, for example, makes working with common medical data types such as FHIR easier and more consistent. It helps with things like anonymizing of data and works with BigQuery for data analyzation.
  • Mar 17, 2020 · TensorFlow is an end-to-end open source platform for machine learning. TensorFlow is a rich system for managing all aspects of a machine learning system; however, this class focuses on using a particular TensorFlow API to develop and train machine learning models. See the TensorFlow documentation for complete details on the broader TensorFlow ...

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FHIR aims to simplify implementation without sacrificing information integrity. It leverages existing logical and theoretical models to provide a consistent, easy to implement, and rigorous mechanism for exchanging data between healthcare applications. FHIR has built-in mechanisms for traceability to the HL7 RIM and other important content models.

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  • Dec 14, 2020 · Download TensorFlow for free. TensorFlow is an open source library for machine learning. Originally developed by Google for internal use, TensorFlow is an open source platform for machine learning. Available across all common operating systems (desktop, server and mobile), TensorFlow provides stable APIs for Python and C as well as APIs that are not guaranteed to be backwards compatible or are ...

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May 07, 2020 · Fast Healthcare Interoperability Resources (FHIR) introduced by HL7 International is a healthcare standard which enables the exchange of healthcare information electronically.

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PROPER USE OF HEALTH CONTENT. The Technology/Standard List identifies technologies and technical standards that have been assessed. Each project team must consult the organizations responsible for the target development, desktop, testing and/or production environments to ensure that the intended use of the technologies is supported.

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Learn about HDInsight, an open source analytics service that runs Hadoop, Spark, Kafka, and more. Integrate HDInsight with other Azure services for superior analytics.

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Azure Cosmos DB is a globally distributed, multi-model database service for any scale. The service was built from the ground up with global distribution and horizontal scale at its core.

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Enterprise-ready and performance-tuned TensorFlow through containers and virtual machines. Instant cloud scale Automatic provisioning, optimizing, and scaling of resources across CPUs, GPUs, and Cloud TPUs.

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Discover how AWS supports the building blocks for tailored interoperability solutions, how APN Partners are equipping companies to tackle interoperability challenges, and how industry standards like Health Level Seven® International (HL7®) Fast Healthcare Interoperability Resources (FHIR®) are shaping the future of interoperability.

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