Layer factory function to create a plain RNN block for use inside a recurrence. The RNN block implements one step of the recurrence and is stateless. It accepts the previous state as its first argument, and outputs its new state.
RRNStep(shape, cell_shape = NULL, activation = op_sigmoid, init = init_glorot_uniform(), init_bias = 0, enable_self_stabilization = FALSE, name = "")
| shape | - list of ints representing tensor shape |
|---|---|
| activation | (Function) - optional activation Function |
| init | (scalar or matrix or initializer, defaults to init_glorot_uniform()) – initial value of weights W |
| name | string (optional) the name of the Function instance in the network |
| init | (scalar or matrix or initializer, defaults to init_glorot_uniform()) – initial value of weights W_bias |