/*
    Copyright (c) 2013, Taiga Nomi and the respective contributors
    All rights reserved.

    Use of this source code is governed by a BSD-style license that can be found
    in the LICENSE file.
*/
#pragma once
#include "tiny_dnn/layers/arithmetic_layer.h"
#include "tiny_dnn/layers/average_pooling_layer.h"
#include "tiny_dnn/layers/average_unpooling_layer.h"
#include "tiny_dnn/layers/batch_normalization_layer.h"
#include "tiny_dnn/layers/concat_layer.h"
#include "tiny_dnn/layers/convolutional_layer.h"
#include "tiny_dnn/layers/deconvolutional_layer.h"
#include "tiny_dnn/layers/dropout_layer.h"
#include "tiny_dnn/layers/fully_connected_layer.h"
#include "tiny_dnn/layers/global_average_pooling_layer.h"
#include "tiny_dnn/layers/layer.h"
#include "tiny_dnn/layers/linear_layer.h"
#include "tiny_dnn/layers/lrn_layer.h"
#include "tiny_dnn/layers/max_pooling_layer.h"
#include "tiny_dnn/layers/max_unpooling_layer.h"
#include "tiny_dnn/layers/partial_connected_layer.h"
#include "tiny_dnn/layers/power_layer.h"
#include "tiny_dnn/layers/quantized_convolutional_layer.h"
#include "tiny_dnn/layers/quantized_deconvolutional_layer.h"
#include "tiny_dnn/layers/quantized_fully_connected_layer.h"
#include "tiny_dnn/layers/recurrent_layer.h"
#include "tiny_dnn/layers/slice_layer.h"
