keras (version 2.2.4)

KerasConstraint: Base R6 class for Keras constraints

Description

Base R6 class for Keras constraints

Usage

KerasConstraint

Format

An R6Class generator object

Methods

call(w)

Constrain the specified weights.

Details

You can implement a custom constraint either by creating an R function that accepts a weights (w) parameter, or by creating an R6 class that derives from KerasConstraint and implements a call method.

See Also

constraints

Examples

# NOT RUN {
CustomNonNegConstraint <- R6::R6Class(
  "CustomNonNegConstraint",
  inherit = KerasConstraint,
  public = list(
    call = function(x) {
       w * k_cast(k_greater_equal(w, 0), k_floatx())
    }
  )
)

layer_dense(units = 32, input_shape = c(784), 
            kernel_constraint = CustomNonNegConstraint$new())
# }
# NOT RUN {
# }