Constrains the weights incident to each hidden unit to have a norm less than or equal to a desired value.

## 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()`