Shallow and Deep Learning Principles

Explore the fascinating world of Artificial Neural Networks (ANN) with "Shallow and Deep Learning Principles" by Zekâi Şen. Published by Springer International Publishing AG in 2024, this comprehensive guide spans 661 pages and delves into the intricacies of deep and shallow learning methodologies. Whether you're a seasoned professional or a curious learner, this book offers valuable insights into how ANN can be leveraged to predict outcomes effectively. Zekâi Şen's expertise in mathematics shines through as he simplifies complex concepts, making them accessible to readers at all levels. Enhance your understanding of modern machine learning techniques and discover the transformative potential of ANN in this essential addition to your library.