loss_triplet_semihard | R Documentation |
Computes the triplet loss with semi-hard negative mining.
loss_triplet_semihard(margin = 1, name = NULL, ...)
margin |
Float, margin term in the loss definition. Default value is 1.0. |
name |
Optional name for the op. |
... |
additional arguments to pass |
triplet_loss: float scalar with dtype of y_pred.
## Not run: model = keras_model_sequential() %>% layer_conv_2d(filters = 64, kernel_size = 2, padding='same', input_shape=c(28,28,1)) %>% layer_max_pooling_2d(pool_size=2) %>% layer_flatten() %>% layer_dense(256, activation= NULL) %>% layer_lambda(f = function(x) tf$math$l2_normalize(x, axis = 1L)) model %>% compile( optimizer = optimizer_lazy_adam(), # apply triplet semihard loss loss = loss_triplet_semihard()) ## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.