Virtual Issue: Neural Networks and Deep Learning
Author: Caitlin Cricco
Deep learning, a method of machine learning that combines neural networks in multiple layers for better learning capabilities and expression, is now frequently used as an algorithm for building artificial intelligence.
This method is particularly strong in fields such as computer vision and natural language processing, and has a wide range of application possibilities. Researchers and engineers around the globe are now starting to apply deep learning in the areas that matter to our everyday life, including autonomous driving, drug discovery, medical research, materials development, and finance.
In this Virtual Issue on Neural Networks and Deep Learning, we feature sample content from Springer Major Reference Works, recent publications from our selected journals, and eBook chapters. Free access to the featured content is available until 26th May, 2020.
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Author: Caitlin Cricco
Caitlin Cricco is a Senior Content Marketing Manager on the Institutional Marketing team, based in the New York office. She works closely with Product, Sales, and Editorial to grow awareness of Springer Nature brands and product lines within the corporate and health market place.
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