Computational Biology of Infection Research
The seminar "Deep Learning" is hosted by the department "Computational Biology of Infection Research" at the HZI headed by Prof. Alice McHardy.
Kick-off Meeting: 12th October 2018, 10 a.m.
Room Kick-off Meeting: BRICS, room 207
Date: one day at the end of semester break
Room seminar: tba
Max. number of participants: 10
Modus: 30 minutes of presentation (with discussion) + 3-5 pages summary
Designated for Bachelor and Master Students of Computer Science
In case you have questions about the seminar, feel free to contact Susanne Reimering.
Description: Recently, deep neural network models have revolutionized machine learning research and achieved the state-of-the-art performance in almost every related research, including computer vision, natural language processing, and computational biology. The goal of this seminar is to teach the basic principles of deep learning along with some basic implementations in pytorch framework. We will explore the most important neural architectures including convolutional neural networks, recurrent neural networks, and autoencoders as well as language-model based representation learning methods.
• Deep Neural Networks and back propagation
• Convolutional Networks (CNN)
• Recurrent Neural Networks (RNN)
• Representation Learning
• Introduction to pytorch