A d-variate Multivariate Normal TriL Keras layer from d+d*(d+1)/ 2 params
A d-variate Multivariate Normal TriL Keras layer from d+d*(d+1)/ 2 params
layer_multivariate_normal_tri_l( object, event_size, convert_to_tensor_fn = tfp$distributions$Distribution$sample, validate_args = FALSE, ... )
object |
Model or layer object |
event_size |
Integer vector tensor representing the shape of single draw from this distribution. |
convert_to_tensor_fn |
A callable that takes a tfd$Distribution instance and returns a
tf$Tensor-like object. Default value: |
validate_args |
Logical, default FALSE. When TRUE distribution parameters are checked for validity despite possibly degrading runtime performance. When FALSE invalid inputs may silently render incorrect outputs. Default value: FALSE. |
... |
Additional arguments passed to |
a Keras layer
For an example how to use in a Keras model, see layer_independent_normal().
Other distribution_layers:
layer_categorical_mixture_of_one_hot_categorical(),
layer_distribution_lambda(),
layer_independent_bernoulli(),
layer_independent_logistic(),
layer_independent_normal(),
layer_independent_poisson(),
layer_kl_divergence_add_loss(),
layer_kl_divergence_regularizer(),
layer_mixture_logistic(),
layer_mixture_normal(),
layer_mixture_same_family(),
layer_one_hot_categorical()
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