This course will introduce the basic concepts of Deep Learning. We will discuss the methods behind neural networks and how to use them set up non-linear models for solving e.g. classification tasks. The basic ideas involved in the process of training neural nets (backpropagation, minimization of loss functions by optimization methods) are treated. We will cover simple deep learning models (with very few fully connected layers) as well as more advanced models such as convolutional neural networks. We shall further focus on the model evaluation and how to effectively train the model. In the hands-on session participants will train their own neural network using the Keras API of TensorFlow.

Target group: Beginners

Language: English