There are many open source frameworks out there: TensorFlow, Caffe/2, CNTK, Theano, Thorch, to name but a few. Even if all of them are (more or less) able to solve your problems fast and easy, you may have noticed huge differences between them.
This talk will show you the main differences between those frameworks, enabling you to choose the best one for your project. The individual features are compared in the context of an anonymisation example.
Required audience experience: No specific knowledge required.
Objective of the talk: Getting to know major open source machine learning frameworks and finding out about distinctive features.
Keywords: TensorFlow, Caffe/2, CNTK, Theano, Thorch, machine learning frameworks