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

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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