Introduction to Deep Learning
This course is aimed at researchers and students in academia who are interested in incorporating Deep Learning concepts into their research.
The course will be in held English.
The workshop is free of charge. Participants organize their own refreshments during breaks.
The registration is limited to 20 participants.
Attention! The course is already full. We will organize a similar course in the near future.
Content
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 and requirements
- The course is targeted at beginners with no or little knowledge of Deep Learning.
- A basic Python knowlege will be of advantage.
- Participants are expected to bring their own laptop with either Linux/MacOS or Windows with MobaXterm installed (see downloads for instructions). The workshop includes a hands-on session that will be carried out through an SSH connection.
- For the WiFi connection Eduroam is necessary.
