从同德科技官网下载的同德板材智能优化算法Demo，做了些修改，作为同德Cutter算法SDK开发交流学习使用。商业开发可广泛应用于板材开料优化、钢板剪板、陶瓷切割、纸业、石材、卷材、地毯、铝板、电器柜开料、配电箱柜下料、包装、玻璃开料优化、家具板材下料排料、幕墙、电表箱柜下料排料等领域。-Downloaded from the official website of TongDe technology intelligent optimization algorithms Demo, made

使用 TensorFlow 实现 resNet, 也就是残差网络，为官方demo， 分别用 cifar 数据集和 ImageNet 数据集进行测试。(Using TensorFlow to achieve resNet, that is, the residual network, for official demo, respectively, using cifar data sets and ImageNet data sets for testing.)

改进了官方的MNIST进阶demo，准确率提升。(The official MINIST advanced demo is improved and the accuracy is improved.)