package tensorflow

You can search for identifiers within the package.

in-package search v0.2.0

tensorflow
- Tensorflow
  - Cell
  - Fnn
    
    Input_id
    
    Loss
    
    Model
    
    Optimizer
    
    Shape
  - Gradients
  - Graph_piqi
    
    Attr_value
    
    Attr_value_list_value
    
    Function_def
    
    Function_def_library
    
    Function_def_node
    
    Function_def_node_attr_entry
    
    Gradient_def
    
    Graph_def
    
    Graph_piqi
    
    Name_attr_list
    
    Name_attr_list_attr_entry
    
    Node_def
    
    Node_def_attr_entry
    
    Op_def
    
    Op_def_arg_def
    
    Op_def_attr_def
    
    Op_deprecation
    
    Op_list
    
    Tensor_proto
    
    Tensor_shape_proto
    
    Tensor_shape_proto_dim
    
    Version_def
  - Mnist_helper
  - Nn
    
    Input_name
    
    Shape
    
    Shared_var
  - Node
    
    Attr_list
    
    Dim
    
    Tensor
    
    Type
    
    Weak_table
  - Node_protobuf
  - Ops
    
    Op_names
    
    Placeholder
  - Ops_generated
    
    Op_names
  - Ops_gradients
  - Ops_manual
    
    Placeholder
  - Optimizers
  - Piqirun
    
    IBuf
    
    List
    
    OBuf
  - Protobuf
  - Registered_gradients
  - Rnn
  - Session
    
    Input
    
    Output
  - Tensor
  - Var
  - Wrapper
    
    Session
    
    Session_options
    
    Status

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val with_shape : 
  f:(shape:'dim Shape.t -> type_:'c Node.Type.t -> 'a) ->
  ((('dim, 'c) t -> 'a) -> 'b) ->
  'b Core_kernel.Std.Staged.t

val dense : 
  ?w_init:init ->
  ?b_init:init ->
  shape:int ->
  unit ->
  ((_1d, [< `double | `float ] as 'b) t ->
    (_1d, 'b) t)
    Core_kernel.Std.Staged.t

val conv2d : 
  ?w_init:init ->
  ?b_init:init ->
  filter:(int * int) ->
  out_channels:int ->
  strides:(int * int) ->
  padding:[ `same | `valid ] ->
  unit ->
  ((_3d, [< `double | `float ] as 'b) t ->
    (_3d, 'b) t)
    Core_kernel.Std.Staged.t