Rational Activations
latest
Tutorials:
Make a rational Network in Pytorch
Find weights for Rational approximating new functions
Visualise and debug the functions
Apply the functions to torchvision model
API:
rational.keras
rational.mxnet
rational.numpy
rational.torch
rational.utils
Rational Activations
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Index
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Index
B
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C
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E
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F
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H
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I
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M
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N
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R
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S
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T
B
best_fit() (rational.keras.Rational method)
(rational.mxnet.Rational method)
(rational.torch.Rational method)
borders() (rational.utils.Snapshot method)
build() (rational.keras.Rational method)
C
call() (rational.keras.Rational method)
capture() (rational.keras.Rational method)
(rational.mxnet.Rational method)
(rational.torch.Rational method)
capture_all() (rational.keras.Rational class method)
(rational.mxnet.Rational class method)
(rational.torch.Rational class method)
E
export_evolution_graph() (rational.keras.Rational method)
(rational.mxnet.Rational method)
(rational.torch.Rational method)
export_evolution_graphs() (rational.keras.Rational class method)
(rational.mxnet.Rational class method)
(rational.torch.Rational class method)
export_graph() (rational.keras.Rational method)
(rational.mxnet.Rational method)
(rational.torch.Rational method)
export_graphs() (rational.keras.Rational class method)
(rational.mxnet.Rational class method)
(rational.torch.Rational class method)
F
find_closest_equivalent() (in module rational.utils)
find_weights() (in module rational.utils)
fit() (rational.keras.Rational method)
(rational.mxnet.Rational method)
(rational.numpy.Rational method)
(rational.torch.Rational method)
forward() (rational.torch.Rational method)
H
hybrid_forward() (rational.mxnet.Rational method)
I
input_retrieve_mode() (rational.torch.Rational method)
M
module
rational.numpy
rational.utils
N
numpy() (rational.keras.Rational method)
(rational.mxnet.Rational method)
(rational.torch.Rational method)
R
Rational (class in rational.keras)
(class in rational.mxnet)
(class in rational.numpy)
(class in rational.torch)
rational.numpy
module
rational.utils
module
S
save() (rational.utils.Snapshot method)
save_all_inputs() (rational.torch.Rational class method)
show() (rational.keras.Rational method)
(rational.mxnet.Rational method)
(rational.numpy.Rational method)
(rational.torch.Rational method)
(rational.utils.Snapshot method)
show_all() (rational.keras.Rational class method)
(rational.mxnet.Rational class method)
(rational.torch.Rational class method)
Snapshot (class in rational.utils)
T
torch() (rational.numpy.Rational method)
training_mode() (rational.torch.Rational method)