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Foula Vagena – Deep Learning: An overview using Multi Layer Perceptrons (MLPs)

Foula Vagena – Deep Learning: An overview using Multi Layer Perceptrons (MLPs)

Oct 24, 2024 | 2021, diiP, Seminars + Hands-On Workshops

Foula VagenaJune 2, 4pmonline (zoom)   Abstract Deep Learning (DL for short) is a field of machine learning that is concerned with algorithms based on (artificial) neural networks and representation learning. The quintessential example of a deep learning model is...
Foula Vagena – Convolutional Neural Networks: An Overview and Applications

Foula Vagena – Convolutional Neural Networks: An Overview and Applications

Oct 24, 2024 | 2021, diiP, Seminars + Hands-On Workshops

Foula VagenaJuly 7, 4pmonline (zoom)   Abstract Convolutional neural networks (CNNs), are a specialized kind of neural network for processing data that has a known, grid-like topology. Examples include time-series data, which can be thought of as a 1D grid taking...
Foula Vagena – Statistical Machine Learning: Overview and Applications

Foula Vagena – Statistical Machine Learning: Overview and Applications

Oct 24, 2024 | 2022, diiP, Seminars + Hands-On Workshops

Foula VagenaFebruary 16, 4pmonline (zoom)   Abstract Machine learning is a branch of artificial intelligence (AI) focused on building applications that learn from data and improve their accuracy over time without being programmed to do so. When statistical...
Foula Vagena – Statistical Machine Learning: Interence and Learning

Foula Vagena – Statistical Machine Learning: Interence and Learning

Oct 24, 2024 | 2022, diiP, Seminars + Hands-On Workshops

Foula VagenaMarch 16, 4 PMonline (zoom)   Abstract Machine learning is a branch of artificial intelligence (AI) focused on building applications that learn from data and improve their accuracy over time without being programmed to do so. When statistical...
Foula Vagena – Generative Models

Foula Vagena – Generative Models

Oct 24, 2024 | 2022, diiP, Seminars + Hands-On Workshops

Foula VagenaApril 13, 4 PMonline (zoom)   Abstract Generative modeling is a field in machine learning that involves automatically discovering and learning regularities or patterns in the data in such a way that the ML model can generate or output new examples...
Shen Liang – Deep Domain Adaptation and Generalization

Shen Liang – Deep Domain Adaptation and Generalization

Oct 24, 2024 | 2022, diiP, Seminars + Hands-On Workshops

Shen LiangOctober 19, 4 PM (Central Eastern Time)online (zoom)     Follow Dr Shen Liang(Université Paris Cité, diiP)Shen Liang is a research associate at the Data Intelligence Institute of Paris (diiP) and affiliated with the Université Paris Cité. He has...
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Recent Posts

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