Semantic Scholar Open Access 2020 13 sitasi

Deep Learning – an Opportunity and a Challenge for Geo- and Astrophysics

Christian Reimers Christian Requena-Mesa

Abstrak

Abstract In this chapter, we give a brief explanation of the concept of deep learning. Afterwards, we introduce four of the most prominent deep learning approaches, namely, convolutional neural networks, recurrent neural networks, variational autoencoders, and generative adversarial networks. For the main part of this chapter, we highlight use cases throughout astro- and geophysics.

Topik & Kata Kunci

Computer Science

Penulis (2)

Christian Reimers

Christian Requena-Mesa

Format Sitasi

APA MLA BibTeX

Reimers, C., Requena-Mesa, C. (2020). Deep Learning – an Opportunity and a Challenge for Geo- and Astrophysics. https://doi.org/10.1016/b978-0-12-819154-5.00024-2

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 13×
Sumber Database: Semantic Scholar
DOI: 10.1016/b978-0-12-819154-5.00024-2
Akses: Open Access ✓