Archives for tensorflow applications
The TensorFlow Team at Google AI has been tirelessly researching on making enhancements and updates to its popular machine learning platform, TensorFlow. The developers at the tech giant have now released the upgraded version of this platform, TensorFlow 2.2.0. TensorFlow 2.2.0 includes multiple numbers of changes and bug fixes in order to make the library…
The post TensorFlow 2.2.0 Released: Intuitive Features Including New TensorFlow’s Docker Images appeared first on Analytics India Magazine.
Google has launched TensorFlow RunTime (TFRT), which is a new runtime for its TensorFlow machine learning framework. According to a recent blog post by Eric Johnson, TFRT Product Manager and Mingsheng Hong, TFRT Tech Lead/Manager, “TensorFlow RunTime aims to provide a unified, extensible infrastructure layer with best-in-class performance across a wide variety of domain-specific hardware.…
The post Google Launches TensorFlow Runtime For Its TensorFlow ML Framework appeared first on Analytics India Magazine.
Google has launched TensorFlow RunTime (TFRT), which is a new runtime for its TensorFlow machine learning framework. According to a recent blog post by Eric Johnson, TFRT Product Manager and Mingsheng Hong, TFRT Tech Lead/Manager, “TensorFlow RunTime aims to provide a unified, extensible infrastructure layer with best-in-class performance across a wide variety of domain-specific hardware.…
The post Google Launches TensorFlow Runtime For Its TensorFlow ML Framework appeared first on Analytics India Magazine.
Frameworks play a crucial role in the domain of data science. Frameworks are a collection of packages and libraries which help in simplifying the overall programming experience for building a specific kind of application. Keras and TensorFlow are among the most popular frameworks when it comes to Deep Learning. In this article, we will jot…
The post TensorFlow vs Keras: Which One Should You Choose appeared first on Analytics India Magazine.
Libraries play an important role when developers decide to work in machine learning or deep learning researches. According to this article, a survey based on a sample of 1,616 ML developers and data scientists, for every one developer using PyTorch, there are 3.4 developers using TensorFlow. In this article, we list down 10 comparisons between…
The post TensorFlow Vs PyTorch: Top 10 Differences Between The Two ML Libraries appeared first on Analytics India Magazine.