Neural network models and deep learning - a primer for biologists

February 13, 2019 ยท Declared Dead ยท ๐Ÿ› Current Biology

๐Ÿ‘ป CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Nikolaus Kriegeskorte, Tal Golan arXiv ID 1902.04704 Category q-bio.NC Cross-listed cs.LG, cs.NE Citations 441 Venue Current Biology Last Checked 2 months ago
Abstract
Originally inspired by neurobiology, deep neural network models have become a powerful tool of machine learning and artificial intelligence, where they are used to approximate functions and dynamics by learning from examples. Here we give a brief introduction to neural network models and deep learning for biologists. We introduce feedforward and recurrent networks and explain the expressive power of this modeling framework and the backpropagation algorithm for setting the parameters. Finally, we consider how deep neural networks might help us understand the brain's computations.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

๐Ÿ“œ Similar Papers

In the same crypt โ€” q-bio.NC

Died the same way โ€” ๐Ÿ‘ป Ghosted