Simplified: All About Neural Networks

Simplified: All About Neural Networks, available at $19.99, has an average rating of 4.15, with 18 lectures, based on 53 reviews, and has 5451 subscribers.

You will learn about Neural Networks Machine Learning Applications of Neural Networks Forward Propagation Backward Propagation Types of Neural Networks This course is ideal for individuals who are High school students with limited computer science knowledge or Individuals interested in machine learning but don't have the extensive pre-requisites other courses require or Students who can't afford the expensive machine learning certification courses It is particularly useful for High school students with limited computer science knowledge or Individuals interested in machine learning but don't have the extensive pre-requisites other courses require or Students who can't afford the expensive machine learning certification courses.

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Summary

Title: Simplified: All About Neural Networks

Price: $19.99

Average Rating: 4.15

Number of Lectures: 18

Number of Published Lectures: 18

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Neural Networks
Machine Learning
Applications of Neural Networks
Forward Propagation
Backward Propagation
Types of Neural Networks

Who Should Attend

High school students with limited computer science knowledge
Individuals interested in machine learning but don't have the extensive pre-requisites other courses require
Students who can't afford the expensive machine learning certification courses

Target Audiences

High school students with limited computer science knowledge
Individuals interested in machine learning but don't have the extensive pre-requisites other courses require
Students who can't afford the expensive machine learning certification courses

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!

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Introduction

Lecture 2: What is a Neural Network?

Lecture 3: Why do we use Neural Networks?

Lecture 4: Important Terms and Definitions

Chapter 2: Understanding Neural Networks…

Lecture 1: Structure of Neural Networks

Lecture 2: Feeding Forward

Lecture 3: Backward Propagation

Lecture 4: Basics of Regularization

Chapter 3: Project #1:

Lecture 1: The Scenario | Text Version

Lecture 2: Analyzing the Dataset

Lecture 3: Installing Keras

Lecture 4: Accessing Data

Lecture 5: Data Pre-Processing

Lecture 6: Model Training

Lecture 7: Results

Chapter 4: Conclusion

Lecture 1: Convolutional Neural Networks

Lecture 2: Recurrent Neural Networks

Lecture 3: Congratulations!

Instructors

Jayanth Peetla
High School Student at the Academies of Loudoun

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 9 votes
4 stars: 15 votes
5 stars: 26 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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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!

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