Comments (2)
Thanks for the heads up! It looks like they updated tensorflow
to use eager execution by default. Will have to document this somewhere then.
from ruta.
from ruta.
Related Issues (20)
- Machine-readable parameters and arguments
- Allow use of tied weights
- Support autoencoder stacking
- More control over verbosity
- Name metric in evaluate functions
- apply_filter does not support higher dimensions
- Feature Request: KATE HOT 1
- Interpret latent space HOT 1
- Calculate correct layer for encoder in variational models
- Decoding fails after loading saved model HOT 3
- Tensorflow error when training denoising AE with validation data
- Tensorflow error when using softsign activation in contractive autoencoder HOT 1
- Tensorflow error when using variational AE with 1-unit encoding
- Allow training/prediction/evaluation with generators
- Add strides to convolutional layer parameters
- Add deconvolution layers
- to_keras(loss, learner) is not a valid scope name
- Tensorflow eager execution breaks ruta
- Variational autoencoder is broken
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from ruta.