Machine learning applications are very compute intensive by their nature. That is why optimization for performance is quite important for them. One of the most popular libraries, Tensorflow*, already has an embedded timeline feature that helps understand which parts of the computational graph are causing bottlenecks but it lacks some advanced features like an architectural analysis. In this short tutorial, we will show how to combine the data provided by Tensorflow.timeline with options available in one of the most powerful performance profilers for Intel Architecture – Intel® VTune™ Amplifier.
- Compare Mobile Phones NewsIn DepthPress ReleaseHow to'sReviews
- Digit SquadVideosPhotos Contest Hot Deals