wave transformation txt

说明：  训练小型CNN网络，处理MNIST数据机(small-scale CNN network training, in order to process MNIST dataset)

【实例简介】

实时捕获abaqus可视化操作的脚本代码(For abaqus learning。)

说明：  keras学习资料Python深度学习keras（中文版）(Keras learning materials)

Some IDA scripts and tools to assist with reverse engineering EFI executables.

Python OBDII库；

编写简单的神经网络程序，使得通过神经网络对手写数字（将手写每个数字转换成784个数字表示）进行识别。在文件里放了100组训练集和10组训练集，训练准确率达到80%。事实证明，增大训练集至1000组可以将准确率提升至95%(Write a simple neural network program to recognize handwritten digits (converting each handwritten digit into 784 digital representations) by neural network. In the document, there are 100 training sets and 10 training sets, and the training accuracy rate reaches 80%. It has been proved that increasing the training set to 1000 groups can increase the accuracy rate to 95%.)

混凝土悬臂梁的Python编程模型，一个简单的悬臂梁模型，长200mm，横截面为25*20mm的，压力为0.5Mpa均布荷载，模型相对比较简单。。。

说明：  隐马尔科夫模型进行中文分词 模型训练 python HMM_train.py RenMinData.txt_utf8 RenMinData.RenMinData_utf8 为人民日报已经人工分词的预料。 生成三个文件 * prob_start.py 为模型的初始概率 * prob_trans.py 为模型状态转移概率 * prob_emit.py 为发射概率 测试模型效果 python HMM.py reference 维特比算法：(python HMM_train.py RenMinData.txt_utf8 RenMinData.RenMinData_utf8 prob_start.py prob_trans.py prob_semit.py)

its book to gui development for python