introduction recurrent neural networks time de continental academy press (1 resultados)

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Recurrent neural networks have revolutionized the field of time series prediction, enabling accurate forecasting of complex systems. This book provides a thorough introduction to the fundamental concepts and architectures of recurrent neural networks, including long short-term memory (LSTM) and gated recurrent units (GRU). Through a combination of theoretical explanations and practical examples, readers will gain a deep understanding of how to design and implement effective recurrent neural networks for time series prediction. From basic to advanced topics, this book covers the essential techniques and tools needed to tackle real-world problems. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.