tiny_dnn
1.0.0
A header only, dependency-free deep learning framework in C++11
- o -
operator[]() :
tiny_dnn::network< NetType >
out_data_size() :
tiny_dnn::network< NetType >
out_shape() :
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::max_unpooling_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
out_size() :
tiny_dnn::layer
out_value_range() :
tiny_dnn::feedforward_layer< Activation >
,
tiny_dnn::layer
output_to_image() :
tiny_dnn::layer
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