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Courses>Data Science>Simplified: All About Neural Networks
DevelopmentSimplified: All About Neural Networks
Price:Paid
Length:1 hour
Content type:video
level:beginner
Updated:19 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Data Science>Simplified: All About Neural Networks
Simplified: All About Neural Networks
4.2 (5.5k)
1 hour
5451 students
What you will learn
1Neural Networks
2Machine Learning
3Applications of Neural Networks
4Forward Propagation
5Backward Propagation
6Types of Neural Networks
Target audiences
1High school students with limited computer science knowledge
2Individuals interested in machine learning but don't have the extensive pre-requisites other courses require
3Students who can't afford the expensive machine learning certification courses
Requirements
1Pre-Calculus
2Python
3Basic Understanding of Programming Languages & Computer Science
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

In this sequel series, we will learn the basics of what a neural network is, how they're used in the real world, and two in-depth projects that allow us to use our skills in an applicable program. This course is dedicated to teaching students with an understanding of basic computer science concepts and little to no pre-existing knowledge of machine learning.  Specifically, "Machine Learning Simplified" targets individuals who can't afford an expensive machine learning course and do not have the extensive pre-requisites the majority of courses require. In fact, the only major pre-requisite for taking this course is taking the first course in this series which is also available on Udemy for free. This course is divided into four major sections. The first one covers a brief introduction into neural networks and how they're used in the real world. The second section goes in depth about the structure and mechanisms of neural networks. In the third section, we program a fully functional neural network using Spyder from Anaconda Navigator. Lastly, we conclude the course by discussing two types of special neural networks. Machine learning is a critical concept that is becoming very relevant in the status quo. So, before it's too late, join Simplified: All About Neural Networks and learn this topic as simply as possible!

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Careertail
Courses>Data Science>Simplified: All About Neural Networks
DevelopmentSimplified: All About Neural Networks
Price:Paid
Length:1 hour
Content type:video
level:beginner
Updated:19 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Data Science>Simplified: All About Neural Networks
Simplified: All About Neural Networks
4.2 (5.5k)
1 hour
5451 students
What you will learn
1Neural Networks
2Machine Learning
3Applications of Neural Networks
4Forward Propagation
5Backward Propagation
6Types of Neural Networks
Target audiences
1High school students with limited computer science knowledge
2Individuals interested in machine learning but don't have the extensive pre-requisites other courses require
3Students who can't afford the expensive machine learning certification courses
Requirements
1Pre-Calculus
2Python
3Basic Understanding of Programming Languages & Computer Science
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

In this sequel series, we will learn the basics of what a neural network is, how they're used in the real world, and two in-depth projects that allow us to use our skills in an applicable program. This course is dedicated to teaching students with an understanding of basic computer science concepts and little to no pre-existing knowledge of machine learning.  Specifically, "Machine Learning Simplified" targets individuals who can't afford an expensive machine learning course and do not have the extensive pre-requisites the majority of courses require. In fact, the only major pre-requisite for taking this course is taking the first course in this series which is also available on Udemy for free. This course is divided into four major sections. The first one covers a brief introduction into neural networks and how they're used in the real world. The second section goes in depth about the structure and mechanisms of neural networks. In the third section, we program a fully functional neural network using Spyder from Anaconda Navigator. Lastly, we conclude the course by discussing two types of special neural networks. Machine learning is a critical concept that is becoming very relevant in the status quo. So, before it's too late, join Simplified: All About Neural Networks and learn this topic as simply as possible!

Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot