Quantum computers are becoming available, which begs the question: what are we going to use them for? Karel Dumon (ML6) will introduce why machine learning is a good candidate application, talk about implementation on small-scale quantum computing devices as well as high-performance simulators, and show which role existing ML frameworks can play in this emerging field.
TensorFlow is preparing for the release of version 2.0. Laurent Sorber (radix.ai) will cover a short history of the TensorFlow APIs, followed by an overview of the new TensorFlow 2.0 features and APIs, including its latest best practices.
Finally, Anna Krogager (ML6) will talk about the transformer - a model introduced by Google Research in 2017 that uses an attention mechanism to learn contextual relations between words. The transformer (and its more recent developments such as BERT) has achieved state of the art results on a variety of NLP tasks. Anna will also show the tensorflow implementation available in the tensor2tensor package.
This meetup will take place in ML6's offices. As always, drinks and pizza will be provided!
