Everything we know about Google's AI builder TensorFlow uses a dataflow graph to represent computations. It shares this space with another open-source machine-learning framework called PyTorch.

Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process ...

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.

After months of anticipation, XLA, which is a domain-specific compiler for TensorFlow graphs that improves performance, and a TensorFlow debugger were released. At the same time, 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 ...

“We redefine new user level operations that are automatically executed when a TensorFlow graph is executed. That graph executes on layers of the network and we auto-insert our user operations into ...

Key changes from TensorFlow 1.0 include replacing queue runners with tf.data, removing graph collections, changing how variables are treated, moving and renaming API symbols, and removing tf ...

TensorFlow uses a dataflow graph to represent computations. It shares this space with another open-source machine-learning ...