However, code written for earlier versions of TensorFlow must be rewritten—sometimes significantly—to take maximum advantage of new TensorFlow 2.0 features.

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

Well, certainly. It’s not like TensorFlow has stood still for all that time. TensorFlow 1.x was all about building static graphs in a very un-Python manner, but with the TensorFlow 2.x line, you ...

At Google’s inaugural TensorFlow Dev Summit in Mountain View, California, today, Google announced the release of version 1.0 of its TensorFlow open source framework for deep learning, a trendy ...

At Google’s first ever TensorFlow Developer Summit, the company announced it has updated its machine learning software to version 1.0. This update contains three key improvements: performance ...

Google this week has published a new version of its TensorFlow machine learning software that adds support for iOS. ... An early version of TensorFlow version 0.9 was released yesterday on ...

The new release now lets iOS developer to build neural network features directly into apps, ... TensorFlow version 0.9 also adds a bunch of other features including Python 3.5 support, ...

TensorFlow (which is Google’s open source machine learning software that now powers applications like Google Translate and many Google Photos features) has now reached a major landmark: its 1.0 ...

GridGain Systems, provider of enterprise-grade in-memory computing solutions, is releasing GridGain Professional Edition 2.7, a fully supported version of Apache Ignite 2.7. GridGain Professional ...

Now Apple is offering that power to AI developers on the new M1 Macs. Advertisement Apple created a fork, that is their own version, of TensorFlow that is specifically optimized for macOS Big Sur ...