fix: `recurrent_activation` parameter's docstring
@@ -1206,7 +1206,7 @@ class GRUCell(Layer):
recurrent_activation: Activation function to use
for the recurrent step
(see [activations](../activations.md)).
- Default: hard sigmoid (`hard_sigmoid`).
+ Default: sigmoid (`sigmoid`).
If you pass `None`, no activation is applied
(ie. "linear" activation: `a(x) = x`).
use_bias: Boolean, whether the layer uses a bias vector.
@@ -1543,7 +1543,7 @@ class GRU(RNN):
recurrent_activation: Activation function to use
for the recurrent step
(see [activations](../activations.md)).
- Default: hard sigmoid (`hard_sigmoid`).
+ Default: sigmoid (`sigmoid`).
If you pass `None`, no activation is applied
(ie. "linear" activation: `a(x) = x`).
use_bias: Boolean, whether the layer uses a bias vector.
@@ -1808,7 +1808,7 @@ class LSTMCell(Layer):
recurrent_activation: Activation function to use
for the recurrent step
(see [activations](../activations.md)).
- Default: hard sigmoid (`hard_sigmoid`).
+ Default: sigmoid (`sigmoid`).
If you pass `None`, no activation is applied
(ie. "linear" activation: `a(x) = x`).x
use_bias: Boolean, whether the layer uses a bias vector.
@@ -2096,7 +2096,7 @@ class LSTM(RNN):
recurrent_activation: Activation function to use
for the recurrent step
(see [activations](../activations.md)).
- Default: hard sigmoid (`hard_sigmoid`).
+ Default: sigmoid (`sigmoid`).
If you pass `None`, no activation is applied
(ie. "linear" activation: `a(x) = x`).
use_bias: Boolean, whether the layer uses a bias vector.
