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📣 Interested in gaining valuable hands-on machine learning experience using TensorFlow? 💻
In this event, Dr. Umberto Michelucci, Machine Learning Researcher and Lecturer, will explain how TensorFlow Keras works at its core with a focus on how to develop advanced neural network architectures. We will cover sequential Keras API, functional Keras API, gradient evaluation, and how to develop custom training loops for special neural network architectures such as multi-task or generative adversarial networks. The theory will be supported by an extensive hands-on part with a large number of examples that participants can try on their own laptops (bring your own if you wish!) without the need to install anything (everything will be web based using Colab).
By the end of the workshop, participants will be able to develop their own neural network architectures, even the strangest ones! 🤓
Requirements: Basic Python and ML knowledge to understand how neural networks work (layers, loss functions, etc.) is necessary. Advanced know-how is not required, although participants of all skill levels, from beginner to advanced, can benefit from the session!
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
