Text classification with TensorFlow and TF Hub
Senior Software Engineer at Google Switzerland
Senior Software Engineer at Google Switzerland with 6 years experience spread over Search, Assistant and Ads. Before that I did 6 internships in Bucharest, Stockholm and the Bay Area – Adobe x 2, Google x 2, Research Lab at KTH and Facebook. I have a Masters in ML from KTH in Stockholm, and a Bachelor from each of the University of Bucharest and the Academy of Economic Studies in Bucharest.
I’m currently working on making the Assistant understand what you want and making voice commands more efficient.
Presentation Topic: Text classification in under an hour with TensorFlow and TF Hub
It used to be the case that text classification relied on simple heuristics or on large rule sets that had an explicit understanding of the grammar of the language built in. In the last 5 years – starting with word2vec – text embeddings have become the new way we think about any ML problem involving text. See how easy it is to write your own text classifier using TensorFlow and TF Hub