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

Natural Language Understanding in Conversational AI with Deep Learning

Deep Learning in Wireless Communications

Springer

Intelligent Manufacturing Engineering: Deep Operations Research

Attacks, Defenses and Testing for Deep Learning

Feature and Dimensionality Reduction for Clustering with Deep Learning (Unsupervised and Semi-Supervised Learning)

Handbook of Trustworthy Federated Learning (Springer Optimization and Its Applications)

Advanced Machine Learning with Evolutionary and Metaheuristic Techniques (Computational Intelligence Methods and Applications)

Multi-faceted Deep Learning: Models and Data

Springer

Machine Learning in Educational Sciences: Approaches, Applications and Advances

Deep Learning and Computer Vision: Models and Biomedical Applications: Volume 2 (Algorithms for Intelligent Systems)

Neural Networks and Learning Algorithms in MATLAB (Synthesis Lectures on Intelligent Technologies)

Deep Learning: From Algorithmic Essence to Industrial Practice

Elsevier

Automated Machine Learning for Person Re-Identification (Intelligent Perception and Information Processing)

Springer

General Audio Signal Processing with Deep Learning

Graph Neural Network for Hyperspectral Image Clustering (Intelligent Perception and Information Processing)

Springer

Next-Generation Hyperspectral Image Analysis: Using Deep Learning Method (Advances in Computer Vision and Pattern Recognition)

Deep Learning for Image Recognition

Intelligent Robotic Visual Perception With Deep Learning

Deep Learning in Natural Language Processing

Springer

A Mastering the Minds of Machines: A Journey into Deep Learning and AI

Teaching and Learning in the Generative Artificial Intelligence Age (Cognition and Exploratory Learning in the Digital Age)

Springer

Machine Learning and Optimization for Engineering Design (Engineering Optimization: Methods and Applications)

Introduction to Embedded Systems and Robotics: A Practical Guide

Deep Learning for Synthetic Aperture Radar Remote Sensing