Deep Bottleneck
doc/ruediger
Contents
Big Picture
Contributing
Glossary
Literature
Literature Summary
User guide
Experiments
Indices and tables
API Documentation
deep_bottleneck package
Subpackages
deep_bottleneck.callbacks package
deep_bottleneck.datasets package
deep_bottleneck.eval_tools package
deep_bottleneck.mi_estimator package
deep_bottleneck.models package
deep_bottleneck.plotter package
Submodules
deep_bottleneck.artifact_viewer module
deep_bottleneck.run_experiments module
deep_bottleneck.utils module
Module contents
Deep Bottleneck
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API Documentation
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deep_bottleneck package
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deep_bottleneck.models package
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deep_bottleneck.models package
¶
Submodules
¶
deep_bottleneck.models.feedforward module
¶
deep_bottleneck.models.feedforward.
load
(
architecture
,
activation_fn
,
optimizer
,
learning_rate
,
input_size
,
output_size
,
max_norm_weights=False
)
[source]
¶
deep_bottleneck.models.feedforward_batchnorm module
¶
deep_bottleneck.models.feedforward_batchnorm.
load
(
architecture
,
activation_fn
,
optimizer
,
learning_rate
,
input_size
,
output_size
,
max_norm_weights=False
)
[source]
¶
Module contents
¶
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