资源列表
Image-pattern-recognition
- Visual C++数字图像模式识别典型案例详解_源码-Typical case of the Visual C++ digital image pattern recognition explain clearly _ source
BreastPhantom
- it automatically generate a simulated 3D breast phantom. Generate lesions, ducts, fibroglandular tissue and fatty tissue. It could be used for all kinds of breast phantom based image analysis. e.g projection image, CT reconstruction etc.
DeepLearningApp
- 深度学习在语音识别，图像识别方面的应用介绍余凯老师-In depth study of speech recognition, application of image recognition is introduced the aspects of teacher Yu Kai
coast41
- 可进行河网水质模拟，以及水动力模拟，对水域环境研究很有用(Water quality simulation of river network)
mengtekaluo
- 本文件内容是蒙特卡罗算法，主要是对一些被积函数难的多重积分进行估计，文档除了程序以外，还有详细的讲解，便于理解。-Contents of this document are the Monte Carlo algorithm, mainly for some of the integrand is difficult to estimate the multiple integration, documentation, in addition to the program, there are
mapdata_2.2-6
- the world mapdata for R (2017-06-09, WINDOWS, 3297KB, Downloads 0)
JBOA
- oa办公自动化系统，很好的调动了ssh框架，还有orcl数据库，希望能帮助你-Oa office automation system, very good to mobilize the SSH framework, and former , the hope can help you
FM-Modem
- Simulink 实现的FM调制，载波13KHz，频偏3KHz，调制波形存为一个波形文件。FM解调采样双斜率鉴频，解调直接输出到声卡。-Simulink implementation of the FM modulation, carrier 13KHz, offset 3KHz, modulation waveform file saved as a waveform. FM demodulation of two-slope Kam sampling frequency, demodulat
fundamentalphysics
- fundamentals in physics, molecules and quantum physic s
MAPLE-Introduction
- 介绍MAPLE使用方法的书籍。网上关于maple的指导书很少，这个是不错的了。对初学者来说可以迅速上手，我当时就是因为临时需要才学的，边学边用，很快就上手了。-An introductory book of MAPLE, published in 2007. Easy to understand and use. Suitable for beginners and amateurs.
Chap10
- 计算变焦距环焦椭圆波束天线，求解长轴平面的副面几何参数，求解短轴平面的副面几何参数，求解其他平面的副面几何参数。-Computing elliptical beam zoom ring-focus antenna, solving the long axis of the sub-surface plane geometry, solving the secondary face short-axis plane geometry, solving the secondary face anot
Python深度学习.pdf+代码
- 本书由Keras之父、现任Google人工智能研究员的弗朗索瓦?肖莱（Franc?ois Chollet）执笔，详尽介绍了用Python和Keras进行深度学习的探索实践，包括计算机视觉、自然语言处理、产生式模型等应用。书中包含30多个代码示例，步骤讲解详细透彻。由于本书立足于人工智能的可达性和大众化，读者无须具备机器学习相关背景知识即可展开阅读。在学习完本书后，读者将具备搭建自己的深度学习环境、建立图像识别模型、生成图像和文字等能力。(This book is written by Franc