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Class Index

A
  absolute (tiny_dnn)
  absolute_eps (tiny_dnn)
  adagrad (tiny_dnn)
  adam (tiny_dnn)
  alexnet (models)
  aligned_allocator (tiny_dnn)
  average_pooling_layer (tiny_dnn)
  average_unpooling_layer (tiny_dnn)
  avx_backend (tiny_dnn::core)

B
  backend (tiny_dnn::core)
  batch_normalization_layer (tiny_dnn)
  blocked_range (tiny_dnn)

C
  caffe_layer_vector (tiny_dnn::detail)
  concat_layer (tiny_dnn)
  connection_table (tiny_dnn::core)
  constant (tiny_dnn::weight_init)
  Conv2dGradOp (tiny_dnn)
  Conv2dLibDNNBackwardOp (tiny_dnn)
  Conv2dLibDNNForwardOp (tiny_dnn)
  Conv2dOp (tiny_dnn)
  Conv2dOpenCLBackwardOp (tiny_dnn)
  Conv2dOpenCLForwardOp (tiny_dnn)
  Conv2dPadding (tiny_dnn::core)
  conv_layer_worker_specific_storage (tiny_dnn::core)
  conv_params (tiny_dnn::core)
  convolutional_layer (tiny_dnn)
  cross_entropy (tiny_dnn)
  cross_entropy_multiclass (tiny_dnn)

D
  deconv_layer_worker_specific_storage (tiny_dnn::core)
  deconv_params (tiny_dnn::core)
  deconvolutional_layer (tiny_dnn)
  deserialization_helper (tiny_dnn)
  Device (tiny_dnn)
  dnn_backend (tiny_dnn::core)
  dropout_layer (tiny_dnn)

E
  edge (tiny_dnn)
  elementwise_add_layer (tiny_dnn)
  elu (tiny_dnn::activation)

F
  feedforward_layer (tiny_dnn)
  foobar
  fully_connected_layer (tiny_dnn)
  fully_params (tiny_dnn::core)
  FullyConnectedGradOp (tiny_dnn)
  FullyConnectedOp (tiny_dnn)
  function (tiny_dnn::activation)
  function (tiny_dnn::weight_init)

G
  gaussian (tiny_dnn::weight_init)
  generic_vec_type (vectorize::detail)
  gradient_descent (tiny_dnn)
  graph (tiny_dnn)
  graph_visualizer (tiny_dnn)

H
  he (tiny_dnn::weight_init)

I
  identity (tiny_dnn::activation)
  image (tiny_dnn)
  index3d (tiny_dnn)
  input_layer (tiny_dnn)

L
  layer (tiny_dnn)
  layer_node (tiny_dnn::detail)
  leaky_relu (tiny_dnn::activation)
  lecun (tiny_dnn::weight_init)
  linear_layer (tiny_dnn)
  lrn_layer (tiny_dnn)

M
  max_pooling_layer (tiny_dnn)
  max_pooling_layer_worker_specific_storage (tiny_dnn::core)
  max_unpooling_layer (tiny_dnn)
  maxpool_params (tiny_dnn::core)
  MaxPoolGradOp (tiny_dnn)
  MaxPoolOp (tiny_dnn)
  mnist_header (tiny_dnn::detail)
  momentum (tiny_dnn)
  mse (tiny_dnn)

N
  network (tiny_dnn)
  nn_error (tiny_dnn)
  nn_info (tiny_dnn)
  nn_not_implemented_error (tiny_dnn)
  nn_warn (tiny_dnn)
  nnp_backend (tiny_dnn::core)
  node (tiny_dnn)
  node_tuple (tiny_dnn)
  nodes (tiny_dnn)

O
  OpKernel (tiny_dnn::core)
  OpKernelConstruction (tiny_dnn::core)
  OpKernelContext (tiny_dnn::core)
  OpKernelContext::OpParams (tiny_dnn::core)
  optimizer (tiny_dnn)

P
  Params (tiny_dnn::core)
  partial_connected_layer (tiny_dnn)
  power_layer (tiny_dnn)
  Program (tiny_dnn)
  ProgramHash (tiny_dnn)
  ProgramManager (tiny_dnn)
  progress_display (tiny_dnn)

Q
  quantized_convolutional_layer (tiny_dnn)
  quantized_deconvolutional_layer (tiny_dnn)
  quantized_fully_connected_layer (tiny_dnn)

R
  random_generator (tiny_dnn)
  aligned_allocator::rebind (tiny_dnn)
  relu (tiny_dnn::activation)
  result (tiny_dnn)
  RMSprop (tiny_dnn)

S
  scalable (tiny_dnn::weight_init)
  sequential (tiny_dnn)
  serialization_helper (tiny_dnn)
  session (tiny_dnn::core)
  sigmoid (tiny_dnn::activation)
  slice_layer (tiny_dnn)
  softmax (tiny_dnn::activation)
  stateful_optimizer (tiny_dnn)

T
  tan_h (tiny_dnn::activation)
  tan_hp1m2 (tiny_dnn::activation)
  Tensor (tiny_dnn)
  timer (tiny_dnn)
  tiny_backend (tiny_dnn::core)

X
  xavier (tiny_dnn::weight_init)