Semantic Scholar Open Access 2019 455 sitasi

Neural network models and deep learning - a primer for biologists

N. Kriegeskorte Tal Golan

Abstrak

Originally inspired by neurobiology, deep neural network models have become a powerful tool of machine learning and artificial intelligence. They can 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 network models might help us understand brain computation.

Penulis (2)

N

N. Kriegeskorte

T

Tal Golan

Format Sitasi

Kriegeskorte, N., Golan, T. (2019). Neural network models and deep learning - a primer for biologists. https://doi.org/10.1016/j.cub.2019.02.034

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.cub.2019.02.034
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
455×
Sumber Database
Semantic Scholar
DOI
10.1016/j.cub.2019.02.034
Akses
Open Access ✓