Answer by Innat for What is the purpose of the add_loss function in Keras?
I was also wondering about the same query and some related stuff like how to add loss function within the intermediate layers. Here I'm sharing some of the observed information, hope it may help...
View ArticleAnswer by Nric for What is the purpose of the add_loss function in Keras?
JIH's answer is right of course but maybe it is useful to add:model.add_loss() has no restrictions, but it also removes the comfort of using for example targets in the model.fit().If you have a loss...
View ArticleAnswer by jlh for What is the purpose of the add_loss function in Keras?
I'll try to answer the original question of why model.add_loss() is being used instead of specifying a custom loss function to model.compile(loss=...).All loss functions in Keras always take two...
View ArticleAnswer by MarioZ for What is the purpose of the add_loss function in Keras?
Try this:import pandas as pdimport numpy as npimport pickleimport matplotlib.pyplot as pltfrom scipy import statsimport tensorflow as tfimport seaborn as snsfrom pylab import rcParamsfrom...
View ArticleAnswer by MarioZ for What is the purpose of the add_loss function in Keras?
You need to change the compile row tovae.compile(optimizer='rmsprop', loss=vae_loss)
View ArticleWhat is the purpose of the add_loss function in Keras?
Currently I stumbled across variational autoencoders and tried to make them work on MNIST using keras. I found a tutorial on github.My question concerns the following lines of code:# Build modelvae =...
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