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About Goh Et Al-2017-Journal of Computational Chemistry
Deep learning is a machine learning algorithm based on artificial neural networks that have multiple hidden layers. This allows deep learning models to learn hierarchical representations of data and map features through nonlinear functions in a way that exceeds the capabilities of traditional machine learning algorithms. The review provides an overview of deep learning theory and applications in computational chemistry, finding that deep learning models often outperform existing methods in tasks like activity prediction, virtual screening, and property prediction.
Detailed Information
| Author: | ['iplaba'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 17 |
| Language: | English |
| Format: | |
| Price: | FREE |
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