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深度学习ADAM算法，分享给大家学习。 We introduce Adam, an algorithm for first-order gradient-based optimization of stochastic objective functions, based on adaptive estimates of lower-order moments. The method is straightforward to implement, is computationally efficient, has little memory requirements, is invariant to diagonal rescaling of the gradients, and is well suited for problems that are large in terms of data and/or parameters. The method is also appropriate for non-stationary objectives and problems with very noisy and/or sparse gradients. The hyper-parameters have intuitive interpretations and typically require little tuning. Some connections to related algorithms, on which Adam was inspired, are discussed. We also analyze the theoretical convergence properties of the algorithm and provide a regret bound on the convergence rate that is comparable to the best known results under the online convex optimization framework. Empirical results demonstrate that Adam works well in practice and compares favorably to other stochastic optimization methods. Finally, we discuss AdaMax, a variant of Adam based on the infinity norm.

Bob大叔（Robert C. Martin）关于C++开发思想的大作，看他的书上提及过，好多C++高手也提及过，但是一直没看到，特地从图书馆借来并扫描，下载者只能用于学习，不可用于商业目的。 A practical, problem-solving approach to the fundamental concepts of Object Oriented Design and their application using C++. This book is written for the "engineer in the trenches". It is a serious guide for practitioners of Object-Oriented design. The style is narrative, and accessible for the beginner, and yet the topics are covered in enough depth to be relevant to the consumate designer. The principles of OOD explained, one by one, and then demonstrated with numerous examples and case studies.

分步傅里叶法Matlab代码共享代码 clc; clear all; close all; clf; cputime=0; tic; ln=1; i=sqrt(-1); Po=.00064; %input pwr in watts alpha=0; % Fiber loss value in dB/km alph=alpha/(4.343); %Ref page#55 eqn 2.5.3 Fiber optic Comm by GP Agrawal gamma=0.003; %fiber non linearity in /W/m to=125e-12; %initial pulse width in second C=-2; %Input chirp parameter for first calculation b2=-20e-27; %2nd order disp. (s2/m) Ld=(to^2)/(abs(b2)); %dispersion length in meter pi=3.1415926535;