Machine LearningCoursesPythonpython programming

Machine Learning II – Neural Networks from Scratch [Python]

Machine Learning II – Neural Networks from Scratch [Python]

This course is about artificial neural networks. Artificial intelligence and machine learning are getting more and more popular nowadays. In the beginning, other techniques such as Support Vector Machines outperformed neural networks, but in the 21st century neural networks again gain popularity. In spite of the slow training procedure, neural networks can be very powerful. Applications ranges from regression problems to optical character recognition and face detection.

Section 1:

  • what are feed-forward neural networks
  • modeling the human brain
  • the big picture behindĀ  neural networks

Section 2:

  • feed-forward neural networks implementation
  • gradient descent with back-propagation

In the first part of the course you will learn about the theoretical background of neural networks, later you will learn how to implement them in Python from scratch.

If you are keen on learning machine learning methods, let’s get started!

 

Tags

Related Articles

Leave a Reply

Your email address will not be published. Required fields are marked *

Back to top button
Close

Adblock Detected!

Our website is made possible by displaying online advertisements to our visitors. Please consider supporting us by whitelisting our website. disable your ad blocker and refresh the page