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 ...

Graphs: One of the reasons for TensorFlow’s popularity is its graph-based architecture. All operations in TensorFlow are depicted and executed inside a graph, which helps define how data is ...

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 ...

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seems to have won the war against static graphs. Unlike TensorFlow, PyTorch hasn’t experienced any major ruptures in the core code since the deprecation of the Variable API in version 0.4 ...

These studies have focused on establishing the precise boundaries between tractable and intractable computational scenarios through rigorous examinations of graph colouring, reconstruction and ...