If you actually need a deep learning model, PyTorch and TensorFlow are both good choices ...

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use If you looked at TensorFlow as a deep learning framework ...

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 ...

Other optimizations to TensorFlow components resulted in significant CPU performance gains for various deep learning models. Using the Intel MKL imalloc routine, both TensorFlow and the Intel MKL-DNN ...

Developers have combined the two open-source technologies -- Kaldi and TensorFlow -- with hopes of advancing automatic speech recognition.

Today IBM announced that its PowerAI distribution for popular open source Machine Learning and Deep Learning frameworks on the POWER8 architecture now supports the TensorFlow 0.12 framework that was ...

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 ...

TensorFlow not only makes it possible for developers to include the spoils of deep learning into their products, but it makes devices and software significantly more intelligent and easier to use.

It is the founder of TensorFlow, the most popular framework for building sophisticated machine learning and deep learning models.

TensorFlow played a crucial role in the growth of machine learning and artificial intelligence. Thank you TensorFlow for enabling and empowering developers, and wish you a happy anniversary!