1.脚本语言和编程语言有什么区别
2.c语言本身是水果识别水果识别开源的吗,c语言是源码用什么写的?谢谢大家了
3.hanlpå¯ä»¥ä½¿ç¨pythonè°ç¨å
4.常ç¨çå大pythonå¾åå¤çå·¥å
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5.Fruit-Dataset水果数据集+水果分类识别训练代码(支持googlenet, resnet, inception_v3, mobilenet_v2)
脚本语言和编程语言有什么区别
楼主有这样的问题,应该是程序对编程和开发不太了解,作为十多年经验的水果识别水果识别老程序员,我试着用外行能够理解的源码语言来回答一下:首先,所谓编程,程序源码游戏端就是水果识别水果识别编制程序,程序就是源码用来控制计算机,而且计算机能够识别的程序一系列命令的集合。
脚本语言,水果识别水果识别全称可以理解为脚本编程语言,源码故名思意,程序幻想领域源码脚本语言是水果识别水果识别编程语言的一种。它们之间的源码关系相当于水果与苹果之间的关系。当然,程序脚本语言这个词也有它特定的含义,因为所有能够控制计算机运行的程序代码的一系列语法规范都叫编程语言,之所以出现脚本语言这个特指,是因为脚本语言是包含以下特征的一类编程语言:程序的源代码可以由称为解释器的工具直接执行,无需经过源代码到可执行代码的编译过程,及时修改及时生效;不在意程序对性能和资源消耗,而以开发速度和方便性为最优先需求;程序规模往往较小,一般在几百行以内,影视vipwap源码对可读性、编写规范等等可维护性没有太大的需求。从以上特征可以看处,脚本语言的用途通常就是用于一些一次性的程序,比如用来批量执行一系列命令自动化日常操作。目前使用最多的脚本语言,有:Bash、Windows 批处理、Python、Ruby、Perl 和VBA 等。舞曲php源码这里需要注意一下,往往很多其他语言也符合 1;
2两个特征,但是基本上并不作为本文所特指的脚本语言的用途,所以这里并不把它们定义为脚本语言,比如 Javascript 和 PHP 等。目前而言,随着技术的进步,专用且功能较弱的脚本语言,如 Bash 等,有被通用的动态语言 Python、Ruby 取代的crf python源码趋势,甚至很多编译型的语言,如 Kotlin 都提供了脚本语言式的直接执行功能,所以,结论是目前常用的各种语言并没有非常明确的划分,还是依据开发人员熟悉度、性能要求、开发周期等需求来确定最合适的语言。
c语言本身是开源的吗,c语言是用什么写的?谢谢大家了
C语言是一个由ISO组织中的ANSI制定的标准,任何个人或者组织都可以根据这个标准将其实现。现今,世界上有许多不同的C语言实现,比较著名的有:GCC、Watcom、MS C等,其中前两者是开源的,后者是闭源的。下面粘贴几个老外的回答(原回答链接)。The C language is not a piece of software but a defined standard, so one wouldn't say that it's open-source, but rather that it's an open standard.
There are a gazillion different compilers for C however, and many of those are indeed open-source. The most notable example is GCC's C compiler, which is all under the GNU General Public License (GPL), an open-source license.
There are more options. Watcom is open-source, for instance. There is no shortage of open-source C compilers, but without a doubt the most widespread one, at least in the non-Windows world, is GCC.
For Windows, your best bet is probably Watcom or GCC by using Cygwin or MinGW.
C is a standard which specifies how C compilers should generate programs.
C itself doesn't have any source code, just like a musical note doesn't have any plastic.
Some C compilers, such as GCC, are open source.
C is just a language, and a standardised one at that, too. It pretty much is the compiler that "does all the work". Different compilers did have different dialects; before the the C ANSI standard, you had things like Borland C and other competing compilers, that implemented the C language in their own fantastic ways.
stdlib is just an agreed-upon collection of standard libraries that are required to be present in any ANSI C implementation.
关于C++开源与否:
与C语言类似,C++也是由ISO/ANSI制定的一个标准,所谓的“官方”并未给出确切的实现,任何组织与个人都可以根据标准自己开发一个C++编译器出来。出名的C++编译器有:GCC/G++、libc/libc++、clang(++)、 Visual studio和MS´ runtime等。也把老外的几个回答贴出来(原回答链接)。
C++ itself is only a description what the language should be,
without a definite implementation.
Anyone can make his own implementations (compiler etc, runtime library, ...)
and call it C++ if it fits to the description.
mittee. There's also a C++ foundation that runs a web site you might want to read.
C++ itself is a language, not a specific implementation, so there's no source code available for the standard/language itself.
Some C++ implementations are open source (e.g., Gnu and Clang).
1. C++ is a code standard defined by the International Organization of Standardization (ISO). There are many different implementations of the language, but they all tend to conform to C++. Unlike Linux or Qt, C++ is just a standard, and to use any code written in the language you'll need a compiler. The major compilers (list from Wikipedia) are LLVM Clang, GCC, Microsoft Visual C++, and the Intel C++ Compiler.
2. C++ revisions are dealt with by ISO, and are influenced primarily by the maintainers of the above four implementations.
3. Clang and GCC are both open-source, I'm sure if you poke around you can find other conforming compilers but those are the two most used.
总之,跟Java、Python和PHP这样所谓的开源语言不同,C语言与C++没有官方提供的各自确切的实现代码(库),ISO/ANSI仅仅提供了C和C++的标准。
这些都是我从自个儿博客摘抄来的,也不见得有人看得到。
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Fruit-Dataset水果数据集+水果分类识别训练代码
本项目利用深度学习技术,提供了一个水果分类识别训练与测试的框架,支持多种模型如googlenet, resnet, inception_v3, mobilenet_v2等。主要涉及以下内容:1. 水果数据集
Fruit-Dataset:包含种水果,总计,张图像,是训练水果分类模型的理想资源。部分数据需自行清洗,以确保模型识别准确度。
Fruits 蔬果数据集:包含种水果,张高质量,适合研究,但不适合实际应用,因为背景多为白色,且存在大量相似角度的。
自定义数据集:支持新增类别或自定义数据进行训练。
2. 训练过程
项目基于Fruit-Dataset,框架包括数据准备、配置文件设置、训练开始、训练可视化以及优化建议。配置文件config.yaml用于调整训练参数。3. 模型效果
初始模型在Fruit-Dataset上的测试结果显示,训练集Accuracy约为%,测试集Accuracy为%。通过调整模型和数据,有望进一步提升性能。4. 下载与测试
源码下载地址提供完整训练代码,demo.py文件用于模型的推理和测试。