Revolutionizing Neural Network Design: The Emergence and Impact of DNA Models in Neural Architecture Search

Advancements in machine learning, specifically in designing neural networks, have made significant strides thanks to Neural Architecture Search (NAS). This technique, which automates the architectural design process, marks a pivotal shift from manual interventions, providing a gateway to developing more efficient and accurate models. By automating what used to be a tedious process, NAS is […]

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