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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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