layer_activation_relu.Rd
Rectified Linear Unit activation function
layer_activation_relu(object, max_value = NULL, negative_slope = 0, threshold = 0, input_shape = NULL, batch_input_shape = NULL, batch_size = NULL, dtype = NULL, name = NULL, trainable = NULL, weights = NULL)
object | Model or layer object |
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max_value | loat, the maximum output value. |
negative_slope | float >= 0 Negative slope coefficient. |
threshold | float. Threshold value for thresholded activation. |
input_shape | Input shape (list of integers, does not include the samples axis) which is required when using this layer as the first layer in a model. |
batch_input_shape | Shapes, including the batch size. For instance,
|
batch_size | Fixed batch size for layer |
dtype | The data type expected by the input, as a string ( |
name | An optional name string for the layer. Should be unique in a model (do not reuse the same name twice). It will be autogenerated if it isn't provided. |
trainable | Whether the layer weights will be updated during training. |
weights | Initial weights for layer. |