Artificial Intelligence II – Neural Networks in Java

-Artificial-Intelligence-II-–-Neural-Networks-in-Java

Hopfield networks, neural networks, backpropagation, optical character recognition, feedforward networks

What you’ll learn

Hopfield networks

Concrete implementation of neural networks

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 21th 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:

Section 2:

Section 3:

Section 4:

Section 5:

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!

Created by Holczer Balazs
Last updated 4/2019
English
English [Auto-generated]

Size: 818.25 MB

   Download Now

https://www.udemy.com/neural-networks-from-scratch-in-java/.