package tensorflow

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package tensorflow

tensorflow
- Tensorflow
  - Cell
  - 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_list
    
    Tensor_proto
    
    Tensor_shape_proto
    
    Tensor_shape_proto_dim
    
    Version_def
  - Mnist_helper
  - Model
    
    Loss
    
    Optimizer
  - Nn
    
    Input_name
    
    Shape
    
    Shared_var
  - Node
    
    Attr_list
    
    Dim
    
    Tensor
    
    Type
    
    Weak_table
  - Node_protobuf
  - Ops
    
    Op_names
  - Ops_generated
    
    Op_names
  - Ops_gradients
  - Ops_manual
  - Optimizers
  - Piqirun
    
    IBuf
    
    List
    
    OBuf
  - Protobuf
  - Registered_gradients
  - Rnn
  - Session
    
    Input
    
    Output
  - Tensor
  - Var
  - Wrapper
    
    Session
    
    Session_options
    
    Status

Legend:
Library
Module
Module type
Parameter
Class
Class type

type float32_tensor = (float, Bigarray.float32_elt) Tensor.t

type t = {

train_images : float32_tensor;
train_labels : float32_tensor;
test_images : float32_tensor;
test_labels : float32_tensor;

}

val read_files : 
  ?train_image_file:string ->
  ?train_label_file:string ->
  ?test_image_file:string ->
  ?test_label_file:string ->
  unit ->
  t

val train_batch : 
  t ->
  batch_size:int ->
  batch_idx:int ->
  float32_tensor * float32_tensor

val image_dim : int

val label_count : int

val accuracy : float32_tensor -> float32_tensor -> float