![]() ![]() The flow process (from input, through the layers of data, to output) is called a tensor…hence the name TensorFlow. In deeper layers, the machine might be asked to recognize a cat’s eye. For example, a first-layer question might simply require the machine to recognize a round shape. Diving deeper into the layers would allow for more and complex questions about an image. TensorFlow improves on this concept by sorting through layers of data called Nodes. An incorrect guess would lead to an adjustment so that it could better recognize the image. If the machine guessed correctly, it was told so. The machine would be given a picture of a cat and asked if it was a picture of a cat. In 2011, Google developed a product called DistBelief that worked on the positive reinforcement model. ![]() SEE: All of TechRepublic’s cheat sheets and smart person’s guides These graphs make it possible for applications like Google Photos to become incredibly accurate at recognizing locations in images based on popular landmarks. TensorFlow delivers a set of modules (providing for both Python and C/C++ APIs) that enable constructing and executing TensorFlow computations, which are then expressed in stateful data flow graphs. Prior to TensorFlow there was a division between the researchers of machine learning and those developing real products that division made it challenging for developers to include deep learning in their software. This is possible thanks to deep learning and developments like TensorFlow. When you have a photo of the Eiffel Tower, Google Photos can identify the image. SEE: How to expand your machine learning capabilities by installing TensorFlow on Ubuntu Server 20.04 (TechRepublic) What is TensorFlow? Users are already seeing its effects in the Google ecosystem. How do I start using TensorFlow? Developers can download the source code from the TensorFlow GitHub repository.Google has now released TensorFlow 2.4, which includes a number of new features and profiler tools. When was TensorFlow released? TensorFlow was originally released November 9, 2015, and the stable release was made available on February 15, 2017.Since the library was made open source, it is available to all developers, which means their products can be significantly enhanced to bring a higher level of intelligence and accuracy to their products. Who does TensorFlow affect? TensorFlow will have a lasting effect on developers and users.Having such a powerful set of libraries available can enable developers to include this powerful deep learning evolution to their products. Why does TensorFlow matter? AI has become crucial to the evolution of how users interact with services and devices.TensorFlow is an open source library of tools that enable software developers to apply deep learning to their products. What is TensorFlow? Google has the single greatest machine learning infrastructure in the world and with TensorFlow, Google now has the ability to share that.SEE: How to build a successful developer career (free PDF) (TechRepublic) Executive summary We’ll update this guide periodically when news and updates about TensorFlow are released. This cheat sheet is an easy way to get up to speed on TensorFlow. ( Note: This article about TensorFlow is also available as a free PDF download.) With TensorFlow in place, Google is able to apply deep learning across numerous areas using perceptual and language-understanding tasks. TensorFlow was originally a deep learning research project of the Google Brain Team that has since become–by way of collaboration with 50 teams at Google–an open source library deployed across the Google ecosystem, including Google Assistant, Google Photos, Gmail, search and more. ![]()
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