According to reports, Amazon and Microsoft jointly launched a new deep learning library called Gluon. The move is considered to be in the cloud computing market with Google, Google has used the AI ​​ecosystem to force cloud computing, emphasizing the strong support of its products for deep learning. Gluon allows training neural networks to build neural networks as simple and simple as developing an app without sacrificing performance.
Recently, AWS and Microsoft jointly announced the launch of a new deep learning library: Gluon. Gluon allows developers of all skill levels to prototype, create and train deep learning models for deployment in the cloud, end devices or mobile apps.
The Gluon interface is currently compatible with Apache MXNet and will support the Microsoft Cognitive Toolkit (CNTK) in upcoming releases. Using the Gluon interface, developers can build machine learning models using a simple Python API and a set of pre-built, optimized neural network components. This makes it easier for developers to build neural networks with simple, concise code without sacrificing performance.
AWS and Microsoft have released Gluon's reference specification, so other deep learning engines can be integrated with the interface.
CNBC, the US media, mentioned in this new in-depth learning library that this is the second major cooperation between Amazon and Microsoft, which was recently announced on artificial intelligence. As before, Google was excluded from cooperation. (Of course, it may be that Google itself is not interested in such cooperation. Google's own deep learning framework, TensorFlow, is currently the most popular of the same kind in the open source community on Githu, and the number of users is rising.)
The move by Amazon and Microsoft is considered an important move to compete with Google in the cloud computing market. Since 2017, Google has continued to exert its power in cloud computing through its powerful AI ecosystem, with particular emphasis on its product's strong support for AI and deep learning.
Microsoft's actions in the league have been very frequent recently. On September 7, Microsoft teamed up with Facebook to launch the Open Neural Network Exchange (ONNX) format for open neural networks. This is a standard for representing deep learning models that allows models to be moved between different frameworks. On October 11, AMD, ARM, Huawei, IBM, Intel, and Qualcomm all announced that they will support ONNX.
"The potential for machine learning can only be achieved if all developers have access. Today's reality is that building and training machine learning models requires a lot of heavy work and specialized expertise," said Swami Sivasubramanian, vice president of Amazon. We created the Gluon interface, making building neural networks and training models as simple as developing an app. We look forward to working with Microsoft to continue to develop Gluon interfaces for the goal of making machine learning easier to use."
Eric Boyd, vice president of artificial intelligence and research at Microsoft, said: "We believe that it is important for the industry to collaborate and pool resources to build technologies that benefit the wider community. This is why Microsoft is working with AWS to develop Gluon interfaces. Support for an open AI ecosystem that gives developers the freedom to choose. Machine learning has the power to change the way we work, interact and communicate. To achieve this, we need to put the right tools in the right place, while the Gluon interface It is a step in this direction."
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