Geometric Deep Learning - aior.com

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Stacked Denoising Autoencoders (SDAs) 1

Variational Information Bottleneck (VIB) 1

VQ-VAE (Vector Quantised-Variational AutoEncoder) 1

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Wasserstein GAN with Gradient Penalty (WGAN-GP) 1

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Weibull Distribution 1

Weight Normalization 1

Weight Sharing Neural Networks 1

Weight Standardization 1

Weighted K-Nearest Neighbors (WKNN) 1

Weighted Majority Algorithm (WMA) 1

Weighted Random Forests 1

Wide Residual Networks (WideResNets) 1

Winner-Take-All Neural Networks (WTANNs) 1

Winograd Convolution 1

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geometric deep learning

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Geometric deep learning is a framework for neural networks to operate directly on graphs and manifolds.

27.07.2023 17:54

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