In this workshop, Dr. Umberto Michelucci, Machine Learning Researcher and Lecturer, will present Autoencoders, an unsupervised learning technique for representation learning.
Autoencoders are a class of algorithms particularly efficient at extracting interesting features from datasets for a large variety of applications. We will look at what autoencoders are and how to build them with neural networks. We will cover feature extraction, classification/regression with latent feature representation, anomaly detection, and denoising with random and non-random noise. Participants will have the chance to build and train autoencoders for all of these applications with TensorFlow Keras and Python in Jupyter notebooks (bring your own laptop if you wish!).
Requirements: Basic Python and ML knowledge to understand how neural networks work (layers, loss functions, etc.) is necessary. The hands-on sessions are at different levels to make sure that everyone can profit from the workshop!
We look forward to seeing you there!
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Google Developer Expert in Machine Learning
Umberto is an Award-winning artificial intelligence researcher, lecturer, advisor, and mentor with 20 years of experience in solving complex problems with innovative and advanced technologies. As a lecturer, he helps universities and research groups to learn and use machine learning techniques in their research projects and publications. He is responsible for artificial intelligence in large E…
Umberto is an Award-winning artificial intelligence researcher, lecturer, advisor, and mentor with 20 years of experience in solving complex problems with innovative and advanced technologies. As a lecturer, he helps universities and research groups to learn and use machine learning techniques in their research projects and publications. He is responsible for artificial intelligence in large European-funded projects with large international consortia. He brings his passion and experience as a long-distance runner into research and helps companies generate value from artificial intelligence by knowing how to plan and use the right techniques to get to the finish line of a “long-distance” project. He believes that artificial intelligence will make our society better, and he is willing to do everything in his power to make this possible. He holds a Ph.D. in machine learning and physics and he is the founder of TOELT, a company focused on research in AI, and of the AI Center of Excellence at Helsana Versicherung AG in Switzerland. He is also a Google Developer Expert in Machine Learning based in Switzerland.
ETH Zurich
GDSC Lead
ETH Zürich
GDSC Lead
ETH Zürich
MSc Graduate
Swiss Re Ltd
GDSC Core Team Member
ETH Zurich
GDSC Core Team Member
ETH Zürich
GDSC Core Team Member
GDSC Core Team Member
ETH Zürich
GDSC Core Team Member
ETH Zurich
GDSC Core Team Member
GDSC Core Team Member
ETH Zurich
GDSC Core Team Member
ETH Zürich
GDSC Core Team Member
GDSC Core Team Member
University of Zurich
GDSC Core Team Member
GDSC Core Team Member
GDSC Core Team Member
GDSC Core Team Member
GDSC Core Team Member
