## Using a MindMap in Informal DNN Parameter Optimization

So you’ve decided to throw a Deep Neural Network at your data. Great! You try a basic setup and it kinda works, …

Brain-Computer Interfaces, Machine Learning, Neuroscience

So you’ve decided to throw a Deep Neural Network at your data. Great! You try a basic setup and it kinda works, …

Day 1 Tutorial: Causal Inference for Observational Studies The topic of causal inference was strongly presented this year. The reason for that …

I had two personal goals for attending BCI Meeting 2016: Present my poster, gather feedback and look for contacts with whom the …

Mastering the game of Go with deep neural networks and tree search (article overview) from Ilya Kuzovkin A talk given at the …

Paper overview: "Deep Residual Learning for Image Recognition" from Ilya Kuzovkin A talk given at the Computational Neuroscience Seminar @ University of …

The aim of this work is to compare different machine learning algorithms in an attempt to find the best one for classifying …

Deep Learning: Theory, History, State of the Art & Practical Tools from Ilya Kuzovkin An introductory talk about deep learning given at …

Article overview: Unsupervised Learning of Visual Structure Using Predictive Generative Networks from Ilya Kuzovkin This set of slides goes over the recent …

Article overview: Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream from Ilya Kuzovkin The …

Caffe is a framework for deep learning. In a deep learning net it is quite hard to find good parameters (learning rate, …

Right after ICML 2015 I got to visit Computational Neuroscience meeting in Prague. Impressed by the advances in deep learning and AI …

This thesis describes an SSVEP-based BCI implemented as a practical part of this work. One possible usage of a BCI that efficiently …