This project forked from jiangyiqiao/fundus_transfer_v3_classification
谷歌INCEPTION-RESNET-V3迁移学习实现图像二分类判断图像是否生病
参考https://blog.csdn.net/White_Idiot/article/details/78816850 tensorflow 实现谷歌INCEPTION-V3迁移学习
LEARNING_RATE = 0.01
STEPS = 10000
BATCH = 100
CHECKPOINT_EVERY = 100
NUM_CHECKPOINTS = 5
VALIDATION_PERCENTAGE = 10
TEST_PERCENTAGE = 10
其中，训练集正负样本各约3600
训练数据集： data/
训练：
python train.py
验证： python validation.py
Validation accuracy on random sampled 100 examples = 83.2%
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