TensorFlow has become the most popular tool and framework for machine learning in a short span of time. It enjoys tremendous popularity among ML engineers and developers. According to the Hacker ...

Google has released TensorFlow 3D, a library that adds 3D deep-learning capabilities to the TensorFlow machine-learning framework. The new library brings tools and resources that allow researchers ...

TensorFlow also lost steam in the research community, which started preferring the flexibility PyTorch offered a few years ago, resulting in a decline in the use of TensorFlow in research papers.

Our data science doctor provides a hands-on neural networking tutorial to explain how to get started with the popular Keras library, a high-level wrapper over TensorFlow.

According to its site, TensorFlow is an open source software library for numerical computation using data flow graphs. For a layman, TensorFlow can be considered as a system that takes ...

Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.

TensorFlow is an open source machine learning framework developed by Google, designed to build and train AI models for a wide range of applications. The tool is widely used in industries such as ...

TensorFlow is an open-source framework developed by Google scientists and engineers for numerical computing. In this article, the author explains how to use Tensorflow.NET to build a neural network.

Take advantage of TensorFlow.js to develop and train machine learning models in JavaScript and deploy them in a browser or on Node.js ...