On Kernel Method–Based Connectionist Models and Supervised Deep Learning Without Backpropagation

DOI10.1162/neco_a_01250OpenAlexW2982864623WikidataQ91189927 ScholiaQ91189927MaRDI QIDQ5131164

Shiyu Duan, Yunmei Chen, Shujian Yu, Jose C. Principe

Publication date: 2 November 2020

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1802.03774

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07)

Uses Software

• darch
• MNIST
• CIFAR
• PyTorch
• RMSprop
• Adam
• GitHub
• Fashion-MNIST
• SVCCA

Cites Work

• Support-vector networks
• Recurrent Kernel Machines: Computing with Infinite Echo State Networks
• Reducing the Dimensionality of Data with Neural Networks
• 10.1162/153244303321897690
• Learning representations by back-propagating errors
• Deep Restricted Kernel Machines Using Conjugate Feature Duality
• A Fast Learning Algorithm for Deep Belief Nets
• A logical calculus of the ideas immanent in nervous activity
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