TensorFlow.js is a framework that we can use to construct machine learning models that are compatible with TensorFlow Python APIs. Unlike TensorFlow Python APIs, TensorFlow.js can be seamlessly integrated with the web so that we can quickly run machine learning algorithms on any platform. It was originally invented by Google and published as a piece of open source software known initially as deeplearn.js. Thanks to the contributions of developers, it is one of the most actively developed projects in the TensorFlow family.
You can view many of the interesting demo applications by going to the TensorFlow.js demo page: https://www.tensorflow.org/js/demos/.
This collection demonstrates the richness and potential of TensorFlow.js as a machine learning framework.
This collection demonstrates the richness and potential of TensorFlow.js as a machine learning framework.
But why is TensorFlow.js so important to developers who are trying to create machine learning applications...