package tensorflow

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package tensorflow

tensorflow
- Tensorflow
  - Gradients
  - Layer
  - Mnist_helper
  - Node
    
    Attr_list
    
    Dim
    
    Id
    
    Name
    
    Op_name
    
    Tensor
    
    Type
    
    Weak_table
  - Ops
    
    Op_names
    
    Placeholder
  - Ops_generated
    
    Op_names
  - Ops_gradients
  - Ops_manual
    
    Placeholder
  - Optimizers
  - Registered_gradients
  - Session
    
    Input
    
    Output
    
    Vars
  - Text_helper
  - Var
tensorflow.fnn
- Tensorflow_fnn
  - Cell
    
    Unfold
  - Fnn
    
    Id
    
    Input_id
    
    Loss
    
    Model
    
    Optimizer
    
    Shape

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Class
Class type

type float32_tensor = (float, Bigarray.float32_elt) Tensorflow_core.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