python树莓派超声波

说明：  learning python第五版，经典书籍，学习python必看。(Learning Python fifth edition, classic books, learning must see.)

运用格子搜索法确定SVR中的参数c和gamma(Using Lattice Search Method to Determine Parameters C and Gamma in SVR)

将part名称赋给对应的property(The part name is assigned to the corresponding property name.)

LSTM入门学习，正弦波序列预测         for i, input_t in enumerate(input.chunk(input.size(1), dim=1)):             h_t, c_t = self.lstm1(input_t, (h_t, c_t))             h_t2, c_t2 = self.lstm2(h_t, (h_t2, c_t2))             output = self.linear(h_t2)  # output.shape:[batch,1]             outputs = [output]  # outputs.shape:[[batch,1],...[batch,1]], list composed of n [batch,1],         for i in range(future):  # if we should predict the future             h_t, c_t = self.lstm1(output, (h_t, c_t))             h_t2, c_t2 = self.lstm2(h_t, (h_t2, c_t2))             output = self.linear(h_t2)  # output.shape:[batch,1]             outputs = [output]  # outputs.shape:[[batch,1],...[batch,1]], list composed of n [batch,1],         outputs = torch.stack(outputs, 1).squeeze(2)  # shape after stack:[batch, n, 1], shape after squeeze: [batch,n]         return outputs

说明：  本书主要介绍深度学习的核心算法，以及在计算机视觉，语音识别、自然语言处理中的相关应用，适合深度学习从业人士或者相关研究生作为参考资料，也可以作为入门教程来大致了解深度学习的相关前沿技术(This book mainly introduces the core algorithms of deep learning, as well as relevant applications in computer vision, speech recognition and natural language processing. It is suitable for practitioners of deep learning or relevant graduate students as reference materials, and can also be used as an introductory course to roughly understand the cutting-edge technologies of deep learning)

说明：  python 游戏源码 python 游戏源码 python 游戏源码 python 游戏源码 python 游戏源码 python 游戏源码(Source code Source code Source code Source code)

Python for Kids, Snake Wrangling for Kids - Learning to Program with Python 3, Windows ed. (2007)

说明：  吴恩达深度学习第一课第二周编程作业，供大家借鉴共享(DeepLearning Lesson 1, Week 2 Programming Assignments)

通过拉格朗日方程模拟仿真双摆系统的运动过程，并生成poincare映射图(The motion process of double pendulum system is simulated by Lagrange equation, and Poincare map is generated.)

说明：  卷积神经网络实现手势数字的识别（基于tensorflow）(Recognition of gesture numbers by convolutional neural network (based on tensorflow))