Neural Networks With Matlab: Programming For Beginners
Last updated 3/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 179.19 MB | Duration: 0h 33m
Neural Network and Its Applications in Data Fitting Problems with MATLAB (ToolBox)
What you'll learn
Introductory Concepts of Neural Network
Construction, Training and Simulation of Neural Network in MATLAB ToolBox
Gain Hands-On Experience With MATLAB Neural Network Programming
Requirements
MATLAB installed on your laptop or desktop
Description
This course provides a comprehensive introduction to the neural network for the data fitting problems using MATLAB. Attendees will learn to construct, train, and simulate different kinds of neural networks. A set of practical problems are solved in this course. At the end of this course, you will be able to solve the Neural Network problems using the MATLAB - Neural Network Toolbox. The MATLAB scripts and functions included in the class are also available for download. Happy learning.NB: This course is designed most straightforwardly to utilise your time wisely.
Overview
Section 1: Introduction
Lecture 1 Welcome to the course
Lecture 2 Origin of neural network
Lecture 3 Course flow
Lecture 4 Structure of neural network
Section 2: Construction of Neural Network
Lecture 5 Construction of neural network
Section 3: Training of neural network
Lecture 6 Training of neural network
Lecture 7 View the network
Section 4: Simulation of neural network
Lecture 8 Simulation of neural network
Lecture 9 Training performance
Section 5: MATLAB program for neural network problems
Lecture 10 One input attribute and one target attribute
Lecture 11 Two input attributes and one target attribute
Lecture 12 Two input attributes and two target attributes
Lecture 13 Parallel computing - Sixteen input attributes and one target attribute
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