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所在平台: Udemy |
课程主页: https://www.udemy.com/course/octave-for-data-scientists/
课程评论：没有评论
课程名称：数据科学家的Octave 课程概述：本课程旨在帮助学员掌握Octave神经网络的基础知识。尽管有些人可能具备编程经验，但处理神经网络仍然可能让人感到畏惧。许多培训和示例虽然介绍了神经网络的概念，但往往没有以易于理解的方式进行讲解，使得实现代码时遇到困难。本课程将以简单而有效的方式教授Octave，学员将通过在Linux（Fedora 16）操作系统上编写示例代码来学习。 课程内容： 第一部分：介绍 - 学员将开始了解Octave的基本知识，包括环境设置、运行Octave及基本命令的使用。 第二部分：基础 - 学员将学习基本命令、各种数据类型、变量存储及运算符的使用。 第三部分：语句 - 本部分涵盖各种控制语句，如if语句、switch语句、while语句、do while语句、do until语句、for语句及break/continue语句。 第四部分：函数 - 本部分将讲解如何定义函数、多个返回值的处理及函数返回的相关知识。 高级Octave神经网络概念：尽管学习神经网络可能具有挑战性，但本课程将继续以简单有效的方式深入学习Octave，包括： 1. 绘图 2. 矩阵操作 3. 三角运算等算术运算 4. 集合运算 5. 图像处理 6. 音频处理 7. 数据容器 通过本课程，学员将能够更清晰地理解和实现神经网络，并掌握使用Octave的基本技能。
Basics of Octave Neural Network:Working with neural networks can seem to be a scary task, even if you have some programming experience. There are many trainings and a lot of examples of what the neural network is and what it does. Many a times it is not explained the way it should be and makes it a little difficult to understand what's going on, not to mention how to implement it in actual code.With this course you shall be learning Octave in a very simple yet effective manner wherein we actually code using examples and programmed in Linux ( Fedora 16) operating system.Below we have outlined all that you will learn through this course.Section 1: Introduction- In this sections we are getting started with Octave wherein we would understand the basics, environment setup, running octave and getting started with basic commands.Section 2: Basics- Here we start with the first step where we will learn about the basic commands, various data types, variables (storing variables) and operators.Section 3: Statements- In this section we will cover if statement, switch statement, while statement, do while statement, do until statement, for statement and break/continue statement.Section 4: Functions- here we are going to understand defining a function, multiple return values and returning from a function.Advanced Concepts of Octave Neural Network:Working with neural networks can seem to be a scary task, even if you have some programming experience. There are many trainings and a lot of examples of what the neural network is and what it does. Many a times it is not explained the way it should be and makes it a little difficult to understand what's going on, not to mention how to implement it in actual code.With this course you shall be learning Octave in a very simple yet effective manner wherein we actually code using examples and programmed in Linux ( Fedora 16) operating system.Below we have outlined all that you will learn through this course.1. Plotting2. Matrix Manipulation3. Arithmetic Operations like Trignometry4. Set Operations5. Image Processing6. Audio Processing7. Data Containers
