TensorFlow is built around a concept of Static Computational Graph (SCG). That means, first you define everything that is going to happen inside your framework, then you run it. It has two great ...

"We just call them computational graphs. All machine learning models are best expressed as graphs -- this is how TensorFlow works as well. It's just that our graphs are orders of magnitude more ...

Graphs: One of the reasons for TensorFlow’s popularity is its graph ... to deploy machine learning models on devices with limited computational resources, such as smartphones, tablets, and ...

TensorFlow also received a new graphical debugger that will allow developers to view how the internal nodes of a computational graph are functioning in order to understand better the way their ...