-
I have a request for documentation relating to the combined use of unsupervised pretraining and supervised training.
The documentation online, the dl4j book and the dl4j-examples repo all give good…
-
When pretraining is set to false (e.g., in the example for [stacked denoising autoencoders](https://deeplearning4j.org/stackeddenoisingautoencoder.html)) the full model is not visible in the UI. Only …
-
HI
Sorry for my question . I couldn't find your email .
I have question about Stacked Denoising Autoencoders code , what is the difference between your
implementation of Stacked Denoising Au…
-
We are going to find more partners to help us add more popular models into the Paddle Models repository. Here are some candidates. If anyone has any suggestion please comment this issue. Thank you.
…
-
to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…
-
http://doi.org/10.1109/BIBM.2015.7359871
-
to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…
-
Hi Francois, et al., I'm a PhD student in CS/machine learning at USC. We started our DL odyssey using Theano directly and just discovered keras, which has thus far been great, especially for rapidly t…
-
Hi,
I write this issue to notice a needed refactoring of DenoisingAutoEncoder layer and see if my implementation of denoising auto-encoder is right .
I am trying to implement Stacked Denoising Autoe…
-
I found a few issues with the project's documentations
1. The neurons per layer numbers in the "stacked denoising autoencoder" seem to be wrong . Currently they are `784 1024, 1024 784, 784 512, 51…