package tensorflow

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in-package search v0.2.0

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 'a optimizer =
  learning_rate:[ `float ] Node.t ->
  ?varsf:[ `float ] Node.t list ->
  ?varsd:[ `double ] Node.t list ->
  'a Node.t ->
  Node.p list

val gradient_descent_minimizer : [< `double | `float ] optimizer

val momentum_minimizer : 
  momentum:[ `float ] Node.t ->
  [< `double | `float ] optimizer

val adam_minimizer : 
  ?beta1:[ `float ] Node.t ->
  ?beta2:[ `float ] Node.t ->
  ?epsilon:[ `float ] Node.t ->
  [< `double | `float ] optimizer

val adagrad_minimizer : 
  ?init:[ `float ] Node.t ->
  [< `double | `float ] optimizer

val rmsprop_minimizer : 
  ?decay:[ `float ] Node.t ->
  ?momentum:[ `float ] Node.t ->
  ?epsilon:[ `float ] Node.t ->
  [< `double | `float ] optimizer