Tensorflow cpp API 调用python预训练模型
###Python定义NN模型训练
cd cpp/scripts
python nn_model.py # 训练nn模型对Iris数据集分类
sh build.sh # 运行 freeze_graph.py 将*.ckpt 参数文件和 nn_model.pbtxt 模型定义文件绑定, 输出 nn_model_frozen.pb
# 成功标志:
# Converted 2 variables to const ops.
# 9 ops in the final graph.###编译CPP项目进行预测
cd ../
make # 编译cpp代码的demo, 编译好的可执行文件在 ./bin/tfcpp_demo 文件夹下
sh run.sh # 运行可执行文件 tfcpp_demo, 读取python预训练好的模型 ./model/nn_model_frozen.pb 进行预测====================================================
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