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Here is a list of all documented class members with links to the class documentation for each member:

### - o -

- operator[]() : tiny_dnn::network< NetType >
- out_channels_ : tiny_dnn::layer
- 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_type_ : tiny_dnn::layer
- out_value_range() : tiny_dnn::feedforward_layer< Activation >, tiny_dnn::layer
- output_to_image() : tiny_dnn::layer