Very deep learning - recent methods and technologies

Teacher(s): Liwicki Marcus
Level: Master
Type of lesson: Lecture
Language(s): English
Semester(s): SA-2018
In this lecture the most recent advances of deep learning will be presented.The intended schedule is:
- Introduction, Motivation
- Advanced Convolutional Networks (ConvNet, AlexNet, GoogLeNet)
- SqueezeNet
- Extended Recurrent Neural Networks (LSTM, MD-LSTM, Dynamic Cortex Memories)
- Spiking Neural Networks
- Reinforcement Learning (Policy and Value Networks)
- Bleeding-Edge Architectures (depending on the most recent publications in Deep Learning).

Training aims

Expected outcomes:
Understanding and Implementing advanced deep learning methods
Solving difficult tasks in Pattern Recognition, Data Science, and Big Data Analytics Literatur