cubase

一本非常好的计算机概念，技术和编程模型的原版书籍。(This innovative text presents computer programming as a unified discipline in a way that is both practical and scientifically sound. The book focuses on techniques of lasting value and explains them precisely in terms of a simple abstract machine. The book presents all major programming paradigms in a uniform framework that shows their deep relationships and how and where to use them together. After an introduction to programming concepts, the book presents both well-known and lesser-known computation models ("programming paradigms"). Each model has its own set of techniques and each is included on the basis of its usefulness in practice. The general models include declarative programming, declarative concurrency, message-passing concurrency, explicit state, object-oriented programming, shared-state concurrency, and relational programming. Specialized models include graphical user interface programming, distributed programming, and constraint programming. Each model is based on its)

神经网络是一种模拟人脑的神经网络，以期能够实现类人工智能的机器学习 技术。 本书揭示神经网络背后的概念，并介绍如何通过Python实现神经网络。全书 分为3章和两个附录。第1章介绍了神经网络中所用到的数学思想。第2章介绍使 用Python实现神经网络，识别手写数字，并测试神经网络的性能。第3章带领读 者进一步了解简单的神经网络，观察已受训练的神经网络内部，尝试进一步改善 神经网络的性能，并加深对相关知识的理解。附录分别介绍了所需的微积分知识 和树莓派知识。 本书适合想要从事神经网络研究和探索的读者学习参考，也适合对人工智 能、机器学习和深度学习等相关领域感兴趣的读者阅读。(Python Neural Network Programming)

说明：  机器人的讲义，台湾交通大学杨谷阳教授的讲义，需要的自取(The lecture notes of robot, * * the lecture notes of professor Yang guyang of lijiao tong university, need to be taken by oneself)

Digital Predistortion of Nonlieaner RF Power Amplifier with Memory Effects. This M code simulates a DPD technique linearization for a AB-class nonlinear HPA with memory effects. Here we consider a memory polynomial predistorter to modeling nonlinearity characteristics and memory effects of a HPA.Simulation procedures divided into three separate parts: 1)Analog imperfection compensation for the direct upconversion transmitter 2)Design a DPD based on a memory polynomial predistorter 3)Performance evaluation via a number of parameters such as:EVM,PSD,SNR,

一篇关于能量检测很经典的文章，可以在初学CR能量检测时用到。(Classic article on the energy detection of articles, energy detection can be used when CR beginner.)

Document CANopen - CiA The CANopen specifications cover of the aplication layer and communication profile (Document CANopen- CiA The CANopen specifications cover of the aplication layer and communication profile )

《推荐系统实践》作者：项亮； 书籍全部章节配套源代码； 仅供学习分享，如有侵权立刻删除。(Author of Recommendation System Practice: Xiang Liang; All chapters of the book are accompanied by source code. For learning and sharing only. If there is any infringement, delete it immediately.)

说明：  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.

LATEX in Thai Version

说明：  神经网络是一种模拟人脑的神经网络，以期能够实现类人工智能的机器学习 技术。 本书揭示神经网络背后的概念，并介绍如何通过Python实现神经网络。全书 分为3章和两个附录。第1章介绍了神经网络中所用到的数学思想。第2章介绍使 用Python实现神经网络，识别手写数字，并测试神经网络的性能。第3章带领读 者进一步了解简单的神经网络，观察已受训练的神经网络内部，尝试进一步改善 神经网络的性能，并加深对相关知识的理解。附录分别介绍了所需的微积分知识 和树莓派知识。 本书适合想要从事神经网络研究和探索的读者学习参考，也适合对人工智 能、机器学习和深度学习等相关领域感兴趣的读者阅读。(Python Neural Network Programming)