Paolo Galeone

Computer Engineer + Machine Learning & Computer Vision researcher + Google Developer Expert in Machine Learning.

He received his MSc in 2016 with a thesis on the application of convolutional neural networks to the object detection and classification problems. After this, he took up research as a career and became a research fellow at the Computer Vision Laboratory at the University of Bologna, Italy, where he worked on a broad range of topics such as object detection, classification, coordinate regression, and anomaly detection. Currently, he leads the computer vision and machine learning department at ZURU Tech, Italy.

While in school, university and at work, he developed several projects spanning a broad range of topics such as database abstraction layers, a complete social network covering both the back-end and front-end aspects, several tools for machine learning developers and researchers with the aim to simplify the machine learning pipeline.
All his computer vision and machine learning projects have been implemented using the framework he loves: Tensorflow.

All these projects were completely open-source and are available on his Github profile at https://github.com/galeone.
He also blogs about Computer Vision, Machine Learning and Linux system administration. You can find his blog at https://pgaleone.eu/

The speaker's profile picture

Institute / Company – Zuru Tech Twitter handle – @paolo_galeone Homepage – https://pgaleone.eu/ Git*hub|lab – https://github.com/galeone

Talks

Deep Diving into GANs: From Theory to Production with TensorFlow 2.0

GANs are one of the hottest topics in the ML arena; however, they present a challenge for the researchers and the engineers alike. This workshop will guide you through both the theory and the code needed to build a GAN and put into production.