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Weight sharing as-is relies on a weight owner with which shared layers share their parameter blobs. This poses a few problems in relation to loss, loading and saving parameters, and weight initializat…
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Write simple summary of papers you read, and how can it helps our project.
What you must read in paper
1. What is target problem, what is model they used.
2. Background and Related Work
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The examples in https://github.com/tensorflow/probability/tree/master/tensorflow_probability/examples do not run with TensorFlow 2, but it's been a while the stable TF2 is available. So, any plans to …
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I am currently trying autoencoder network on caffe on 3 channelled (coloured images) by modifying the MNIST autoencoder example from caffe to suit Cifar10 32x32 images. The network trains but when I t…
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Regarding the [example_aae.py](https://github.com/bstriner/keras-adversarial/blob/master/examples/example_aae.py):
Can anyone explain how this code works without having the KL divergence included for…
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Hi,
You can get the outputs of a layer like:
NNAutoencoder.Layers[LayerCnt].Output.SizeX
NNAutoencoder.Layers[LayerCnt].Output.SizeY
NNAutoencoder.Layers[LayerCnt].Ou…
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Hi,
I tried to use a three-layer CNN on CIFAR10 to reproduce the work like what the paper mentions.I chose the autoencoder.Latent_AE_cnn_big as ae_model in the ae_ddpm.yaml. The classification accu…
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I'm trying to implement an autoencoder and was able to get it to train and reconstruct a sample image from MNIST and MNIST Fashion without any issues. Now I'm trying it with a short video (~150 frames…
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We don't need to update value of c (center of volume) during the training?
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We need to convert keras.io examples to work with Keras 3.
This involves two stages:
## Stage 1: tf.keras backwards compatibility check
Keras 3 is intended as a drop-in replacement for tf.ker…