Machine Learning: Build neural networks in 77 lines of code

Machine Learning: Build neural networks in 77 lines of code, available at $27.99, has an average rating of 4.55, with 18 lectures, based on 524 reviews, and has 1867 subscribers.

You will learn about Neural Networks Machine Learning Artificial Intelligence Supervised Learning This course is ideal for individuals who are Anyone interested in machine learning It is particularly useful for Anyone interested in machine learning.

Enroll now: Machine Learning: Build neural networks in 77 lines of code

Summary

Title: Machine Learning: Build neural networks in 77 lines of code

Price: $27.99

Average Rating: 4.55

Number of Lectures: 18

Number of Published Lectures: 18

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

Neural Networks
Machine Learning
Artificial Intelligence
Supervised Learning

Who Should Attend

Anyone interested in machine learning

Target Audiences

Anyone interested in machine learning

From Google Translate to Netflix recommendations, neural networks are increasingly being used in our everyday lives. One day neural networks may operate self driving cars or even reach the level of artificial consciousness. As the machine learning revolution grows, demand for machine learning engineers grows with it. Machine learning is a lucrative field to develop your career.

In this course, I will teach you how to build a neural network from scratch in 77 lines of Python code. Unlike other courses, we won’t be using machine learning libraries, which means you will gain a unique level of insight into how neural networks actually work. This course is designed for beginners. I don’t use complex mathematics and I explain the Python code line by line, so the concepts are explained clearly and simply.

This is the expanded and improved video version of my blog post “How to build a neural network in 9 lines of Python code” which has been read by over 500,0000 students.

Enroll today to start building your neural network.

Course Curriculum

Chapter 1: Theory

Lecture 1: Course Structure

Lecture 2: What is a neural network?

Lecture 3: The challenge

Lecture 4: Designing our architecture

Lecture 5: Weights

Lecture 6: Activation Function

Lecture 7: Training process

Lecture 8: Error Cost Function

Lecture 9: Adjusting the Weights

Chapter 2: Putting it into practise

Lecture 1: Development Environment

Lecture 2: Coding Part 1

Lecture 3: Coding Part 2

Lecture 4: Coding Part 3

Lecture 5: Coding Part 4

Lecture 6: Using the Terminal

Lecture 7: Running our code

Lecture 8: Debugging

Lecture 9: Conclusion

Instructors

Milo Spencer-Harper
Software Engineer

Rating Distribution

1 stars: 3 votes
2 stars: 5 votes
3 stars: 49 votes
4 stars: 174 votes
5 stars: 293 votes

Frequently Asked Questions

How long do I have access to the course materials?

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

Can I take my courses with me wherever I go?

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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