Bring your neural networks to the browser with TF.js!


TensorFlow.js is a new open-source project by Google allowing you to train and deploy TF/Keras models to the browser (in Javascript). This brings up two questions: how do we use it? and, more importantly, what can we do with it? In this talk I will try to answer both questions, by showing some representative use cases and a live coding session in TF.js. I will also discuss more broadly the growing importance of deep learning for front-end design and human interfaces.

Language: English

Level: Intermediate

Simone Scardapane

Post-doc fellow - University of Rome "La Sapienza"

Simone Scardapane is a post-doc fellow at Sapienza University (Rome) and an honorary fellow at the University of Stirling (UK). His research is focused on machine learning, with an emphasis on deep learning, distributed environments, and applications in the audio field. Before the PhD, he obtained a B.Sc. in Computer Engineering in 2009, and a M.Sc. in Artificial Intelligence and Robotics in 2011. He is an active member of several organizations, including the IEEE Computational Intelligence Society, the International Neural Networks Society, and the AI*IA.

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