One of the major signs of maturity in an AI ecosystem is identified by the application of new tools and frameworks. Other indicators such as innovation, interoperability, and accuracy also play a major role in identifying the maturity of an AI ecosystem and its tools. In the following sections, we can see a short list of a few AI platforms and tools that are leveraged by many engineers around the world.
TensorFlow is an open source project anchored by internet giant Google. It is a sophisticated framework used for machine learning projects. It offers a wide ecosystem with comprehensive toolkits, libraries, and documentation that enable researchers and developers to easily design, build, and deploy machine learning-powered applications. Find out more about the tools at https://www.tensorflow.org.
Microsoft Cognitive Toolkit
The Microsoft Cognitive Toolkit (CNTK) is an open source toolkit for commercial-grade distributed deep learning. It describes neural...