Hours of Content: 5
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 range from regression problems to optical character recognition and face detection. 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. If you are keen on learning methods, let's get started!
What are the requirements?
- Basic Java
What am I going to get from this course?
- Basics of neural networks
- Hopfield networks
- Concrete implementation of neural networks
- Optical character recognition
What is the target audience?
- This course is recommended for students who are interested in artificial intelligence focusing on neural networks