NN (owl-base.Owl_neural_graph.Make.Neuron.Optimise.Algodiff.NN)

val dropout : ?rate:float -> t -> t

Refer to :doc:`owl_dense_ndarray_generic`

val conv1d : ?padding:Owl_types.padding -> t -> t -> int array -> t

Refer to :doc:`owl_dense_ndarray_generic`

val conv2d : ?padding:Owl_types.padding -> t -> t -> int array -> t

Refer to :doc:`owl_dense_ndarray_generic`

val conv3d : ?padding:Owl_types.padding -> t -> t -> int array -> t

Refer to :doc:`owl_dense_ndarray_generic`

val dilated_conv1d : 
  ?padding:Owl_types.padding ->
  t ->
  t ->
  int array ->
  int array ->
  t

Refer to :doc:`owl_dense_ndarray_generic`

val dilated_conv2d : 
  ?padding:Owl_types.padding ->
  t ->
  t ->
  int array ->
  int array ->
  t

Refer to :doc:`owl_dense_ndarray_generic`

val dilated_conv3d : 
  ?padding:Owl_types.padding ->
  t ->
  t ->
  int array ->
  int array ->
  t

Refer to :doc:`owl_dense_ndarray_generic`

val transpose_conv1d : ?padding:Owl_types.padding -> t -> t -> int array -> t

Refer to :doc:`owl_dense_ndarray_generic`

val transpose_conv2d : ?padding:Owl_types.padding -> t -> t -> int array -> t

Refer to :doc:`owl_dense_ndarray_generic`

val transpose_conv3d : ?padding:Owl_types.padding -> t -> t -> int array -> t

Refer to :doc:`owl_dense_ndarray_generic`

val max_pool1d : Owl_types.padding -> t -> int array -> int array -> t

Refer to :doc:`owl_dense_ndarray_generic`

val max_pool2d : Owl_types.padding -> t -> int array -> int array -> t

Refer to :doc:`owl_dense_ndarray_generic`

val max_pool3d : Owl_types.padding -> t -> int array -> int array -> t

Refer to :doc:`owl_dense_ndarray_generic`

val avg_pool1d : Owl_types.padding -> t -> int array -> int array -> t

Refer to :doc:`owl_dense_ndarray_generic`

val avg_pool2d : Owl_types.padding -> t -> int array -> int array -> t

Refer to :doc:`owl_dense_ndarray_generic`

val avg_pool3d : Owl_types.padding -> t -> int array -> int array -> t

Refer to :doc:`owl_dense_ndarray_generic`

val upsampling2d : t -> int array -> t

Refer to :doc:`owl_dense_ndarray_generic`

val pad : ?v:A.elt -> int list list -> t -> t

Refer to :doc:`owl_dense_ndarray_generic`