Springer Deep Learning Foundations

Deep Learning in Natural Language Processing

Springer

Multi-faceted Deep Learning: Models and Data

Springer

Information Retrieval and Deep Learning

Springer

Shallow and Deep Learning Principles: Scientific, Philosophical, and Logical Perspectives

Springer

Deep Learning in Object Detection and Recognition

Springer

Deep Learning in Computational Mechanics: An Introductory Course

Springer

Springer Deep Learning: Fundamentals, Theory and Applications

Springer

Deep Learning for 3D Point Clouds

Springer

Deep Learning for Biometrics (Advances in Computer Vision and Pattern Recognition)

Springer

Springer - Machine Learning, Deep Learning and AI for Cybersecurity

Springer

Deep Learning for Advanced X-ray Detection and Imaging Applications

Springer

Springer - Federated Learning: Fundamentals and Advances Book

Springer

Generative AI: Foundations & Concepts

Springer

Springer - Recent Trends in Modelling Continuous Time Series

Springer

Machine Learning for Advanced Functional Materials

Springer

Deep Learning in Wireless Communications

Springer

Probabilistic Topic Models: Foundation and Application

Springer

Deep Learning Models: A Practical Approach for Hands-On Professionals (Transactions on Computer Systems and Networks)

Springer

Attacks, Defenses and Testing for Deep Learning

Dictionary Learning Algorithms and Applications

Springer

Derivative-Free Optimization: Theoretical Foundations, Algorithms, and Applications (Machine Learning: Foundations, Methodologies, and Applications)

Springer

Data Fusion: Concepts, Ideas and Deep Learning

Springer

Deep Learning Approaches for Spoken and Natural Language Processing (Signals and Communication Technology)

Springer

Deep Learning and Practice with MindSpore (Cognitive Intelligence and Robotics)

Springer