Joseph Conroy

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What is the syntax to share support vectors among multiple regression SVMs?
I am fitting 64 support vector machines to accomplish a regression task on 64-dimensional targets. At the moment, I am simply it...

circa 7 ore fa | 0 risposte | 0

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Why is this autoencoder only predicting a single output regardless of input when using min-max scaling?
Loss Scaling: The @mse function does not automatically normalize when handling multi-dimensional inputs and outputs. If you want...

6 giorni fa | 0

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Domanda

Why are the gradients not backpropagating into the encoder in this custom loop?
I am building a convolutional autoencoder using a custom training loop. When I attempt to reconstruct the images, the network's ...

6 giorni fa | 1 risposta | 1

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Domanda

Why is this autoencoder only predicting a single output regardless of input when using min-max scaling?
Key questions: Why does a network predict a specific value for the output regardless of input as if the input data had no infor...

11 giorni fa | 1 risposta | 1

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Domanda

Where can I find a good example of using tied weights in nested layers?
I could use some guidance on how to use tied weights for an autoencoder. The example provided in the documentation throws severa...

12 giorni fa | 1 risposta | 0

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Domanda

How do I output hidden layers to a custom loss function in a regularized autoencoder?
I am creating a regularized autoencoder wherein the latent dimension outputs the results of a regression task while the decoder ...

12 giorni fa | 1 risposta | 0

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