Two weeks have passed from TensorFlow Dev Summit 2019 and we are really excited to share our first thoughts about updates.
The main announcement was dedicated to the alpha release of TensorFlow 2.0, which leads to a conceptual shift in ML / DL apps production, especially in terms of prototyping speed.
In order to get a better sense of changes, we at DataRoot Labs tested it out on a few of our projects using
Another exciting news which our team enjoyed is the updates on TensorFlow.js and TensorFlow Lite. Main improvements to TensorFlow Lite are usability, model conversion features, optimization (i.e. quantization) and performance (i.e. GPU acceleration). In addition, TensorFlow.js 1.0 update focuses on performance improvements demonstrated on
Currently, we’re in the process of testing inference speed with a quantized version of