constraint_maxnorm: MaxNorm weight constraint.
In rstudio/keras: R Interface to 'Keras'
constraint_maxnorm R Documentation
MaxNorm weight constraint.
Description
Constrains the weights incident to each hidden unit
to have a norm less than or equal to a desired value.
Usage
constraint_maxnorm(max_value = 2L, axis = 1L)
Arguments
max_value
the maximum norm value for the incoming weights.
axis
integer, axis along which to calculate weight norms.
For instance, in a Dense layer the weight matrix
has shape (input_dim, output_dim),
set axis to 0 to constrain each weight vector
of length (input_dim,).
In a Conv2D layer with data_format = "channels_last",
the weight tensor has shape
(rows, cols, input_depth, output_depth),
set axis to [0, 1, 2]
to constrain the weights of each filter tensor of size
(rows, cols, input_depth).
Value
A Constraint instance, a callable that can be passed to layer
constructors or used directly by calling it with tensors.
See Also
Other constraints:
Constraint()
constraint_minmaxnorm()
constraint_nonneg()
constraint_unitnorm()
rstudio/keras documentation built on April 22, 2024, 11:43 p.m.
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| constraint_maxnorm | R Documentation |
MaxNorm weight constraint.
Description
Constrains the weights incident to each hidden unit to have a norm less than or equal to a desired value.
Usage
constraint_maxnorm(max_value = 2L, axis = 1L)
Arguments
max_value |
the maximum norm value for the incoming weights. |
axis |
integer, axis along which to calculate weight norms.
For instance, in a |
Value
A Constraint instance, a callable that can be passed to layer
constructors or used directly by calling it with tensors.
See Also
Other constraints:
Constraint()
constraint_minmaxnorm()
constraint_nonneg()
constraint_unitnorm()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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