layer_sparsemax | R Documentation |
Sparsemax activation function
layer_sparsemax(object, axis = -1, ...)
object |
Model or layer object |
axis |
Integer, axis along which the sparsemax normalization is applied. |
... |
additional parameters to pass |
The output shape is the same as the input shape. https://arxiv.org/abs/1602.02068
A tensor
## Not run: model = keras_model_sequential() %>% layer_conv_2d(filters = 10, kernel_size = c(3,3),input_shape = c(28,28,1), activation = activation_gelu) %>% layer_sparsemax() ## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.