Skip to content Zenke Lab Computational Neuroscience at the FMI Selected talks from the lab Research Funding Spiking Heidelberg Digits and Spiking Speech Commands Auryn Spiking Network Simulator LaTeX rebuttal/response to reviewers template Great free text books Tutorial on surrogate gradient learning in spiking networks online March 8, 2019September 19, 2022 fzenke Please try this at home! I just put up a beta version of a tutorial showing how to train spiking neural networks with surrogate gradients using
Neural Autoregressive Flows replaces affine transformations with neural nets to model complex distributions, achieving superior density estimation and variational inference
Data sets, software, and documentation to play with networks
# ANR Project PANDORA (ANR-24-CE23-0950) The recent major advances in Artificial Intelligence are to a very large part due to the significant progress in Machine Learning on the topic of Deep Neural Networks, which have been shown to be able to achieve state-of-the-art performance in just about any application area. Such networks have a large number of parameters that interact in intricate ways, which gives them the power to learn complicated concepts but also makes them very difficult to interpret and
Neural style transfer is a technique for combining the content of one image with the style of another. Discover how it works and see some examples
A visual explanation of Long Short-Term Memory with bidirectional LSTM example to solve "many-to-many" sequence problems
If you're a machine learning expert, then you know that a recurrent neural network is a must-have for any Pytorch project. In this blog post, we'll show you
Python, Machine Learning, Python3, Neural Networks, Deep-Learning from scratch
An introduction to Bayesian networks (Belief networks). Learn about Bayes Theorem, directed acyclic graphs, probability and inference
Deep neural networks with short residual connections have demonstrated remarkable success across domains, but increasing depth often introduces computational redundancy