package tensorflow

You can search for identifiers within the package.

in-package search v0.2.0

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

Legend:
Library
Module
Module type
Parameter
Class
Class type

type 'a fnn = 'a t

type ('a, 'b, 'c) t

val create : ('c * 'b) Tensorflow_core.Tensor.eq -> 'a fnn -> ('a, 'b, 'c) t

val predict : 
  ('a, 'b, 'c) t ->
  ?output_id:Id.t ->
  (Input_id.t * (Base.float, 'c) Tensorflow_core.Tensor.t) Base.list ->
  (Base.float, 'c) Tensorflow_core.Tensor.t

val fit : 
  ?addn_inputs:
    (Input_id.t * (Base.float, 'c) Tensorflow_core.Tensor.t) Base.list ->
  ?batch_size:Base.int ->
  ?explicit_vars:'a fnn Base.list ->
  ('a, 'b, 'c) t ->
  loss:Loss.t ->
  optimizer:Optimizer.t ->
  epochs:Base.int ->
  input_id:Input_id.t ->
  xs:(Base.float, 'c) Tensorflow_core.Tensor.t ->
  ys:(Base.float, 'c) Tensorflow_core.Tensor.t ->
  Base.unit

val save : 
  ?inputs:(Input_id.t * (Base.float, 'c) Tensorflow_core.Tensor.t) Base.list ->
  ('a, 'b, 'c) t ->
  filename:Base.string ->
  Base.unit

val load : 
  ?inputs:(Input_id.t * (Base.float, 'c) Tensorflow_core.Tensor.t) Base.list ->
  ('a, 'b, 'c) t ->
  filename:Base.string ->
  Base.unit