Constrains the weights incident to each hidden unit to have a norm less than or equal to a desired value.
constraint_maxnorm(max_value = 2L, axis = 1L)A Constraint instance, a callable that can be passed to layer
constructors or used directly by calling it with tensors.
the maximum norm value for the incoming weights.
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).
Other constraints:
Constraint()
constraint_minmaxnorm()
constraint_nonneg()
constraint_unitnorm()