|
via Udemy |
Go to Course: https://www.udemy.com/course/octave-for-data-scientists/
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