In the last ten years there has been a revolution in the field of Artificial Intelligence, mainly as the result of the revival of an approach called "Deep Learning". Deep Learning is the subfield of Machine Learning which is based
on Artificial Neural Networks with many "layers".
The Deep-Learning course discusses the main ideas and techniques of Deep Learning and explains the practical implementation of Deep Learning algorithms using Python & Keras in detail. The programming part in this course is about 50% of the time. At the end of the course participants will be able to program state of the art algorithms in computer vision with a few lines of code.
The course assumes familiarity with core Python. It is advantageous to have basic knowledge of Linear Algebra, Calculus, and Probability Theory. The topics covered are:
The standard course duration is 2 days. On request, this course can be combined with one of the other courses with a
duration between 2 and 5 days. Very popular is the combination with the Scikit-Learn-course.
If you are interested in this course, please send us a message, since we plan courses dynamically on demand.