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Tag: convolutional

  • The Inductive Bias of Convolutional Neural Networks: Locality and Weight Sharing Reshape Implicit Regularization

    The Inductive Bias of Convolutional Neural Networks: Locality and Weight Sharing Reshape Implicit Regularization arXiv:2603.04807v1 Announce Type: new Abstract: We study how architectural inductive bias reshapes the implicit regularization induced by the edge-of-stability phenomenon in gradient descent. Prior work has established that for fully connected networks, the strength of this regularization is governed solely by…

  • Inheritance Between Feedforward and Convolutional Networks via Model Projection

    Inheritance Between Feedforward and Convolutional Networks via Model Projection arXiv:2602.06245v1 Announce Type: new Abstract: Techniques for feedforward networks (FFNs) and convolutional networks (CNNs) are frequently reused across families, but the relationship between the underlying model classes is rarely made explicit. We introduce a unified node-level formalization with tensor-valued activations and show that generalized feedforward networks…

  • How Convolutional Neural Networks Learn Musical Similarity

    How Convolutional Neural Networks Learn Musical Similarity Learning audio embeddings with contrastive learning and deploying them in a real music recommendation app The post How Convolutional Neural Networks Learn Musical Similarity appeared first on Towards Data Science. Luke Stuckey Go to original source

  • Understanding Convolutional Neural Networks (CNNs) Through Excel

    Understanding Convolutional Neural Networks (CNNs) Through Excel Deep learning is often seen as a black box. We know that it learns from data, but we rarely stop to ask how it truly learns. What if we could open that box and watch each step happen right before our eyes? With Excel, we can do exactly…