This function is a DSL function, kind of like ggplot2::aes(), that helps to
specify activation functions for neural network layers. It validates that
activation functions exist in torch and that any parameters match the
function's formal arguments.
Arguments
- ...
Activation function specifications. Can be:
Bare symbols: relu, tanh
Character strings (simple): "relu", "tanh"
Character strings (with params): "softshrink(lambda = 0.1)", "rrelu(lower = 1/5, upper = 1/4)"
Named with parameters: softmax = args(dim = 2L)
Value
A vctrs vector with class "activation_spec" containing validated
activation specifications.
