What are some techniques being developed to improve the interpretability of deep learning models?

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Dec 21, 2023 ... What is the definition of Artificial Intelligence? Artificial ... Deep learning is also a class of neural networks with multiple layers. Lastly, we will discuss deep neural networks and other methods at the forefront of machine learning. We situate the course components in the "data science ... Nov 9, 2023 ... ... different from other types of artificial intelligence? Adam Zewe ... of major research advances also led to more complex deep-learning ... Jun 18, 2024 ... Information theory, introduced by Claude Shannon in 1948, is a mathematical framework for quantifying information, data compression, ... Principles, techniques, and algorithms in machine learning from the point of view of ... Fundamentals of deep learning, including both theory and applications. Mar 24, 2024 ... Graph neural networks (GNNs) have achieved state-of-the-art results on many graph representation learning tasks by exploiting statistical ... The major differences between the approaches based on the aforementioned steps were given by the design choice around combining spatio-temporal information. Oct 21, 2021 ... We compare the cross-validated predictive performance of our proposed deep learning ... information on sepsis predictions using machine learning ... Jan 17, 2022 ... (2012) who achieved a new state of the art in image classification by using deep neural networks to automatically learn informative features ... Jun 7, 2024 ... The algorithms are chosen by developers and data scientists based on the type of information they want to predict. Supervised learning ...
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