AI Revolution: Exploring Advanced Concepts in Deep Learning

This comprehensive textbook offers a unique approach to learning machine learning and deep learning by seamlessly integrating theoretical foundations with hands-on laboratory exercises. The book bridges the gap between theory and practice, providing students and practitioners with both the conceptual understanding and practical implementation skills necessary in today's AI landscape.
Each chapter follows a carefully structured format that combines theoretical explanations with immediate practical applications. This innovative approach allows readers to reinforce their understanding through direct implementation, creating a more engaging and effective learning experience.

List of contents

Deep learning basics.- Convolutional Neural Networks.- Recurrent Neural Networks.- Attention Mechanisms, Transformers and LLMs.

Product details

• Authors: Emma Amorós Belda, Bo, Diego Bonilla Salvador, Pablo Hernández Cámara, Pablo Rodríguez Belenguer, Manuel Sánchez-Montañés, Manuel Antonio Sánchez-Montañés Isla, Emilio Soria Olivas
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Release: 13.02.2026
• EAN: 9783032158536
• ISBN: 978-3-0-3215853-6
• Illustrations: Approx. 400 p.
• Series: Studies in Computational Intelligence
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; machine learning, Artificial Intelligence, Deep Learning, Mathematik für Ingenieure, Computational Intelligence, Mathematical and Computational Engineering Applications, AI applications, Large Language Models