Deep neural networks

By David Díaz Vico. 2012

Subfields: Model Architectures

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Model Architectures

1. Santiago A. Cadena
2. Matthias Bethge
3. Andreas S. Tolias
4. Alexander S. Ecker
5. Leon A. Gatys

Citations in the corpus

• Deep convolutional models improve predictions of macaque V1 responses to natural images (2017, background): “301 Our work contributes to a growing body of research where goal-driven deep learning models (Yamins 302 and DiCarlo, 2016) have shown unprecedented predictive performance of higher areas of the visual stream 303 (Cadieu et al., 2014; Yamins et al., 2014), and a hierarchical correspondence between ”