Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning

Discover the cutting-edge insights from the 28th International Conference on Artificial Neural Networks, ICANN 2019, with the comprehensive volume titled Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning by Igor V. Tetko. Published by Springer Nature Switzerland AG, this paperback edition spans an impressive 807 pages, making it an essential resource for researchers and practitioners in the field of deep learning.

Delve into the latest advancements and methodologies presented during the conference held in Munich, Germany, in September 2019. This collection of proceedings, identified as LNCS 11727 through 11731, encapsulates the vibrant discussions and innovative ideas that emerged from leading experts in artificial neural networks and machine learning.

Whether you are a seasoned professional or a newcomer to the field, this book offers valuable knowledge and perspectives that will enhance your understanding of deep learning technologies. Don’t miss the opportunity to expand your expertise with this pivotal publication.