Flux vs TensorFlow Misconceptions

Do you not get what the big deal is about the Flux Machine Learning Library? Let us clear up some common misconceptions.

TensorFlow is the 800-pound Gorilla of Machine Learning that almost everybody in the field have heard about and have some familiarity with. But there is a tiny uppity little upstart called Flux which is kicking ass and taking names, causing it to grab some attention. Yet it is still a very misunderstood machine learning library.

Emmett Boudreau is fellow Julia fan here on medium has written a number of articles on the topic. One of his latest Is Flux Better Than TensorFlow made me realize reading the comments that people really don’t grasp what the big deal about Flux is.

If you are living and breathing Julia, there is a lot of things you take for granted. So here are some great questions which deserve answers.

How is Julia Performance Relevant for Flux?

William Heymann asks:

Since tensorflow compiles to a graph and runs optimized code on a cpu, tpu or gpu. Does the language speed matter? From what I have seen tensorflow is the same performance in c++ and python