Computer Engineer + Machine Learning & Computer Vision researcher + Google Developer Expert in Machine Learning. In 2019 Google recognized his expertise awarding him with the title of Google Developer Expert (GDE) in Machine Learning. As a GDE he shares his passion for machine learning and the Tensorflow framework by blogging, speaking at conferences, contributing to open source projects, and answering questions on Stack Overflow. Author of the book "Hands-On Neural Networks with TensorFlow 2.0". He blogs on https://pgaleone.eu/ and does OpenSource on https://github.com/galeoneBack to speakers list
Dissecting tf.function to discover AutoGraph strenghts and subtleties
AutoGraph is one of the most exciting new features of Tensorflow 2.0: it allows transforming a subset of Python syntax into its portable, high-performance and language agnostic graph representation bridging the gap between Tensorflow 1.x and the 2.0 release based on eager execution. Using AutoGraph with the `@tf.fuction` decorator seems easy, but in practice, writing efficient and correctly graph-convertible code requires to know in detail how AutoGraph and tf.function work. The talk will guide you trough AutoGraph and `tf.function` highlighting all the must-know details.