In this paper, the encoder part and decoder part of the autoencoder are implemented by kernel-based principal component analysis and kernel-based linear regression, respectively. As autoencoder is a ...

In this case of Deep linear autoencoder, when we use six hidden layers with the following linear structure inside the encoder: 28 * 28 -> 512 -> 256 -> 128 -> 64 -> 16 -> 3, the performance of the ...

In this paper, we propose Linear Variational Autoencoder (LVA), a linear version of Mult-VAE, considering additional normalization on user-item interaction data, for collaborative filtering under the ...

and then using the bottleneck features from the trained autoencoder to train a linear classifier. sys.exit('\nUsage: \n1) python train_autoencoder_and_linear_classifier_hopkins_loss.py \nOR \n2) ...