Jouini_soufien

perform3D混凝土资料，对于学习混凝土结构的建模有很大的帮助(perform3D concrete assistant, a great help for learning the modeling of concrete structures)

其实编程的时候也要很多数学知识，所以学习好高数是必不可少的，这本题解包括知识摘要和大量习题题解，可快速吸收(In fact, when the programming will still take many mathematical knowledge, it is good to learn a high number is essential, including knowledge of this problem solution Problem title abstracts and a large number of solutions, can quickly absorb)

说明：  Python入门书籍，最新版，简单易学。 Make Your Own Python Text Adventure_ A Guide to Learning Programming(Phillip Johnson (auth.) - Make Your Own Python Text Adventure_ A Guide to Learning Programming-Apress (2018))

一个精简典型的的建模实例，进行了建模、加载和静力分析等基本步骤(A streamlined and typical modeling example with basic steps such as modeling, loading, and static analysis)

说明：  本文提出了一种用于通信系统中无线电信号检测的自动调制识别框架。该框架考虑了深度卷积神经网络（CNN）和长期短期记忆网络（LSTM）。 此外，我们提出了一种预处理信号表示，其组合了调制信号的同相，正交和四阶统计。所提供的数据表示允许我们的CNN和LSTM模型对我们的测试数据集实现8％的改进。(Automatic Modulation Recognition using Deep Learning Architectures, 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC))

Multi-Agent System Architecture for Sensor Networks

华为培训教程，华为内部资料，非常值得一读的。(huawei training book, huawei inner book, it s worth reading.)

说明：  GRE复习资料，祝各位亲们复习愉快！！！(GRE revision material)

ansys Maxwell 官方 培训 教程。 里面有例子和对应的文件。(ANSYS Maxwell Official Training Course. There are examples and corresponding documents.)

A commented bash script to generate our final 2nd place solution can be found in make_kaggle_solution.sh. Running all the commands sequentially will probably take 7 - 10 days on recent consumer grade hardware. If you have multiple GPUs you can speed things up by doing training and feature extraction for the two networks in parallel. However, due to the computationally heavy data augmentation it may be far less than twice as fast especially when working with 512x512 pixel input images. You can also obtain a quadratic weighted kappa score of 0.839 on the private leaderboard by just training the 4x4 kernel networks and by performing only 20 feature extraction iterations with the weights that gave you the best MSE validation scores during training. The entire ensemble only achieves a slightly higher score of 0.845.