Artificial Intelligence II - Hands-On Neural Networks (Java)
What you'll learn
- Basics of neural networks
- Hopfield networks
- Concrete implementation of neural networks
- Optical character recognition
- Basic Java
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.
what are neural networks
modeling the human brain
the big picture
Hopfield neural networks
how to construct an autoassociative memory with neural networks
what is back-propagation
feedforward neural networks
optimizing the cost function
backpropagation and gradient descent
the single perceptron model
solving linear classification problems
logical operators (AND and XOR operation)
applications of neural networks
optical character recognition (OCR)
smile-detector application from scratch
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!
Who this course is for:
- This course is recommended for students who are interested in artificial intelligence focusing on neural networks
My name is Balazs Holczer. I am from Budapest, Hungary. I am qualified as a physicist. At the moment I am working as a simulation engineer at a multinational company. I have been interested in algorithms and data structures and its implementations especially in Java since university. Later on I got acquainted with machine learning techniques, artificial intelligence, numerical methods and recipes such as solving differential equations, linear algebra, interpolation and extrapolation. These things may prove to be very very important in several fields: software engineering, research and development or investment banking. I have a special addiction to quantitative models such as the Black-Scholes model, or the Merton-model.
Take a look at my website if you are interested in these topics!