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

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?

Google enhances TensorFlow with deep learning capabilities and parallelism techniques for developer choice in machine language tooling.

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 ...

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 ...

東京大学松尾・岩澤研究室（松尾研）は、開講を予定しているオンライン講座「Deep Learning基礎講座 Autumn」の受講申込受付を8月1日より実施して ...

Xiaoyi Lu from Ohio State University gave this talk at the 2019 OpenFabrics Workshop in Austin. "Google's TensorFlow is one of the most popular Deep Learning (DL) frameworks. We propose a unified way ...

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!

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