The proposed workshop will address the below listed but not limited themes.

• Neural network architectures

• DL Applications to the Natural Sciences

• Visual Perception using Deep Convolutional Neural Networks

• Deep Learning for Computer Vision

• Deep Sequence Modeling: Historical Perspective and Current Trends

• Automatic Terminology Extraction

• Deep Learning of Behaviors

• Probabilistic Graphical Models Algorithms

• Deep Learning for Natural Language Processing

• Deep Learning Applications at the Enterprise Scale

• Multi-modal Deep Learning

• Deep Learning Security

• Neural Networks

• From Statistical Decision Theory and Deep Neural Networks

• Machine Learning and Deep Neural Networks

• Cognitive Architectures for Object Recognition in Video

• Learning Representations for Vision, Speech and Text Processing Applications

• Deep Learning in the Brain

• Deep Learning for Sequences

• Interpretable Deep Learning Models for Healthcare Applications

• Deep Learning for Video Games

• Data Processing Methods, and Applications of Least Squares Support Vector Machines

• Deep Generative Models and Unsupervised Learning

• Natural Language Understanding