Deep learning for computational chemistry
Battelle · Pacific Northwest National Laboratory
Abstract
The rise and fall of artificial neural networks is well documented in the scientific literature of both computer science and computational chemistry. Yet almost two decades later, we are now seeing a resurgence of interest in deep learning, a machine learning algorithm based on multilayer neural networks. Within the last few years, we have seen the transformative impact of deep learning in many domains, particularly in speech recognition and computer vision, to the extent that the majority of expert practitioners in those field are now regularly eschewing prior established models in favor of deep learning models. In this review, we provide an introductory overview into the theory of deep neural networks and…
Citation impact
- FWCI
- 68.40
- Percentile
- 100%
- References
- 123
Authors
3Topics & keywords
- Deep learning
- Artificial intelligence
- Computer science
- Artificial neural network
- Machine learning
- Field (mathematics)
- Deep neural networks
- Cheminformatics