The Deep Learning Revolution

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How researchers see this paper

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Towards Explainable Deep Neural Networks (xDNN) (2019, background): “the attention of media and the wider public [6].”
The unreasonable effectiveness of deep learning in artificial intelligence (2020, background): “illions of users online, less than a decade since they were introduced. Origins of Deep Learning. I have written a book, The Deep Learning Revolution: Artificial Intelligence Meets Human Intelligence (5), which tells the story of how deep learning came about. Deep learning was inspired by the massiv”
Large Language Models (2023, background): “These problems have been the subject of intense investigation since the mid50’s, and a few textbooks and histories are [93, 105, 119, 121].”
The Hitchhiker’s Guide to Computational Linguistics in Suicide Prevention (2021, background): “Note that this period of time, according to many computational scientists, marks the “revolution” of deep learning algorithms (Sejnowski, 2018)—computational models that rely on multiple layers (hence, deep ) of artificial neural networks, also known as deep neural networks (DNNs; Goodfellow et…”