Here is a list of all documented class members with links to the class documentation for each member:
- b -
- back_propagation()
: tiny_dnn::average_pooling_layer< Activation >
, tiny_dnn::average_unpooling_layer< Activation >
, tiny_dnn::batch_normalization_layer
, tiny_dnn::concat_layer
, tiny_dnn::convolutional_layer< Activation >
, tiny_dnn::deconvolutional_layer< Activation >
, tiny_dnn::dropout_layer
, tiny_dnn::elementwise_add_layer
, tiny_dnn::fully_connected_layer< Activation >
, tiny_dnn::input_layer
, tiny_dnn::layer
, tiny_dnn::linear_layer< Activation >
, tiny_dnn::lrn_layer< Activation >
, tiny_dnn::max_pooling_layer< Activation >
, tiny_dnn::partial_connected_layer< Activation >
, tiny_dnn::power_layer
, tiny_dnn::quantized_convolutional_layer< Activation >
, tiny_dnn::quantized_deconvolutional_layer< Activation >
, tiny_dnn::quantized_fully_connected_layer< Activation >
, tiny_dnn::slice_layer
- backend()
: tiny_dnn::layer
- backend_
: tiny_dnn::layer
- backend_type_
: tiny_dnn::layer
- backward()
: tiny_dnn::graph
, tiny_dnn::nodes
, tiny_dnn::sequential
- batch_normalization_layer()
: tiny_dnn::batch_normalization_layer
- bias_init()
: tiny_dnn::network< NetType >