For anyone who’s completely lost at how graphs can be used to compute derivatives, or just wants to know how TensorFlow works at a…

For anyone who’s completely lost at how graphs can be used to compute derivatives, or just wants to know how TensorFlow works at a fundamental level, this is your guide. Deep learning is so popular and so widespread these days, it’s easy to ask the question, “Why did it take so long for people to figure this out?” There are a number of reasons why, and getting into the history of deep learning is really not the focus of this post (the introduction to Reference [1] does a nice job), but one of the key advances that makes this revolution roll is automatic differentiation (AutoDiff).

tensorflow automatic-differentiation directed-acyclic-graph graph

Topological sorting refers to the linear ordering of vertices in a graph such ... Topological Sorting of a Directed Acyclic Graph in Rust Using DFS.

In this newsletter, see different material on graph databases including a key graph database technology, cutting edge research, and more!Parts of the world are still in lockdown, while others are returning to some semblance of normalcy.

In this newsletter, see different material on graph databases including a key graph database technology, cutting edge research, and more! Parts of the world are still in lockdown, while others are returning to some semblance of normalcy.

Graph Therapy. The Year of the Graph Newsletter, June / May 2020 . Graph databases have been making progress and announcements, repositioning themselves by a combination of releasing new features, securing additional funds, and entering strategic partnerships.

Towards a Knowledge Graph Economy. The Year of the Graph Newsletter, Summer 2020. Knowledge graphs have become an iconic technology trend for a reason. Knowledge graphs exemplify the emphasis on knowledge, and connections.