LLNet模型的实现进行模型训练
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# Ref: LLNet: Deep Autoencoders for Low-light Image Enhancement
#
# CVPR 2014
#
# Author: HSW
# Date: 2018-05-11
import tensorflow as tf
import numpy as np
class LLNet_Model(object):
def __init__(self, beta_pretrain, lambda_pretrain, lambda_finetune, transfer_function=tf.nn.sigmoid, LLnet_Shape=(289, 847, 578, 289), sparseCoef = 0.05):
''' LLNet Model Inputs is 17 x 17 image Patch: 289 pixels '''
self.LLnet_Shape = LLnet_Shape
# Inputs + Outputs
self.inputs = t
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