TensorFlow bundles together a slew of machine learning and deep learning models and algorithms (aka neural networks) and makes them useful by way of common programmatic metaphors. A convenient ...

And almost all of these deep learning applications are written in one of three frameworks: TensorFlow, PyTorch, and JAX. Which of these deep learning frameworks should you use? In this article ...

Murphy’s Probabilistic Machine Learning textbook is a great foundation for mathematically rigorous ML (and has great diagrams too ... is implemented in TensorFlow). Deep Learning frameworks ...

TensorFlow 3D is just one of the 3D deep learning extensions in the market. Facebook launched PyTorch3D in 2020 , more dedicated to 3D rendering and virtual reality.

At a presentation during Google I/O 2019, Google announced TensorFlow Graphics, a library for building deep neural networks for unsupervised learning tasks in computer vision.The library contains ...

Google is announcing TensorFlow, its open ­source platform for machine learning, giving anyone a computer and internet connection (and casual background in deep learning algorithms) access to one of ...

Researchers at Google and Intel recently collaborated to extract the maximum performance from Intel® Xeon and Intel® Xeon Phi processors running TensorFlow*, a leading deep learning and machine ...

Its functional computing approach is resonating with researchers and developers alike, making it a potential future powerhouse in deep learning. TensorFlow’s capabilities in reinforcement ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...