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Turboc2.0函数大全
Turboc2.0函数大全.zip(Turboc2.0 function Daquan. Zip)
- 2004-10-21 22:42:30下载
- 积分:1
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top1
fpga,主要功能是实现n*n图像的旋转,源程序代码,(fpga, main function is to achieve the n* n image rotation, source code,)
- 2020-07-08 15:48:56下载
- 积分:1
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chaosheng
超声层析成像的理论与实现超声层析成像的理论与实现(The theory of ultrasonic tomography ultrasonic tomography and the realization of the theory and implementation of)
- 2009-06-25 13:18:36下载
- 积分:1
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雷达手册(第三版)
雷达信号的功能以及原理,目前所存在的一些问题(The Function and Principle of Radar Signal and Some Problems Existing at Present)
- 2019-05-21 11:33:21下载
- 积分:1
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《CRUISE高级培训教程》cruise_Advanced_MatLab
Cruise高级培训教程,对熟悉和了解Cruise仿真有很大的帮助。(Cruise advanced training course is very helpful to familiarize with and understand Cruise simulation.)
- 2019-05-24 15:58:54下载
- 积分:1
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SignalProcSAR_Cumming&Wong
Digital Processing of Synthetic Aperture Radar Data
- 2018-02-05 04:01:19下载
- 积分:1
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Matlab基础及其应用教程
Matlab基础及其应用教程,入门级教程,包括平台简介以及基础的语法(Matlab foundation and its application tutorial, introductory tutorial, including platform introduction and basic grammar)
- 2018-06-26 20:29:15下载
- 积分:1
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The_Definitive_Guide_to_ARM_CortexM0_M0+
说明: ARM M0,M+ eBook for beginner
- 2019-05-22 15:00:02下载
- 积分:1
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ProcessInjectBooks
有关进程注入的方法的小结,对初学者有很大的帮助。(The process approach into the summary, very helpful for beginners.)
- 2010-01-27 11:56:26下载
- 积分:1
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Python深度学习
说明: 本书由Keras之父、现任Google A工智能研究员的弗朗索瓦?肖莱(Frangois Chollet)执笔,详尽介 绍了用Python和Keras进行深度学习的探索实践,涉及计算机视觉、自然语言处理、生成式模型等应用。 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 Frangois Chollet, the father of keras and the current researcher of Google a intelligence. It introduces in detail the exploration and practice of deep learning with Python and keras, involving computer vision, natural language processing, generative model and other applications. The book contains more than 30 code examples, and the steps are detailed and thorough. Because this book is based on the accessibility and popularization of artificial intelligence, readers can read it without having the background knowledge of machine learning. After learning this book, readers will have the ability to build their own deep learning environment, establish image recognition model, and generate images and characters)
- 2021-01-08 19:49:44下载
- 积分:1