Deep learning (Machine learning)

Deep learning and medical applications by: (Language materials, printed)

Object detection with deep learning models : = principles and applications / by: (Language materials, printed)

Deep learning = a comprehensive guide / by: (Language materials, printed)

Machine learning, deep learning, big data, and internet of things for healthcare / by: (Language materials, printed)

Machine learning and deep learning in natural language processing / by: (Language materials, printed)

Deep learning : = a beginners' guide / by: (Language materials, printed)

Methods and techniques in deep learning : = advancements in mmwave radar solutions / by: (Language materials, printed)

Deep reinforcement learning processor design for mobile applications by: (Language materials, printed)

The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023) by: (Language materials, printed)

Deep learning for agricultural visual perception = crop pest and disease detection / by: (Language materials, printed)

Innovations in machine and deep learning = case studies and applications / by: (Language materials, printed)

Medical image learning with limited and noisy data = second International Workshop, MILLanD 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings / by: (Language materials, printed)

Shape in medical imaging = International Workshop, ShapeMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings / by: (Language materials, printed)

Binary neural networks : = algorithms, architectures, and applications / by: (Language materials, printed)

Deep learning for fluid simulation and animation = fundamentals, modeling, and case studies / by: (Language materials, printed)

Adversarial machine learning = attack surfaces, defence mechanisms, learning theories in artificial intelligence / by: (Language materials, printed)

The principles of deep learning theory : = an effective theory approach to understanding neural networks / by: (Language materials, printed)

Mathematical aspects of deep learning / by: (Language materials, printed)

Deep learning and its applications for vehicle networks / by: (Language materials, printed)

Deep learning for video understanding by: (Language materials, printed)

Intelligent systems design and applications = deep learning.. Volume 2 / by: (Language materials, printed)

Deep learning theory and applications = 5th International Conference, DeLTA 2024, Dijon, France, July 10-11, 2024 : proceedings.. Part I / by: (Language materials, printed)

Deep learning theory and applications = 5th International Conference, DeLTA 2024, Dijon, France, July 10-11, 2024 : proceedings.. Part II / by: (Language materials, printed)

Data-driven clinical decision-making using deep learning in imaging by: (Language materials, printed)

The future of artificial intelligence and robotics = proceedings of 5th International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2023 - progress in AI-driven business decisions & robotic process automation / by: (Language materials, printed)

AlphaGo simplified : = rule-based AI and deep learning in everyday games / by: (Language materials, printed)

Deep learning for multimedia processing applications / by: (Language materials, printed)

Machine learning and deep learning techniques for medical science by: (Language materials, printed)

Object detection with deep learning models = principles and applications / by: (Language materials, printed)

Machine learning, deep learning, big data, and internet of things for healthcare by: (Language materials, printed)

Deep learning : = a practical introduction / by: (Language materials, printed)

Deep learning in time series analysis / by: (Language materials, printed)

Swarm intelligence and evolutionary computation : = theory, advances and applications in machine learning and deep learning / by: (Language materials, printed)

System design using the internet of things with deep learning applications / by: (Language materials, printed)

Advances in electromagnetics empowered by artificial intelligence and deep learning / by: (Language materials, printed)

Deep learning for biomedical image reconstruction / by: (Language materials, printed)

Deep learning for finance : = creating machine and deep learning models for trading in Python / by: (Language materials, printed)

Generative deep learning : = teaching machines to paint, write, compose, and play / by: (Language materials, printed)

Mathematical aspects of deep learning by: (Language materials, printed)

Deep learning for biomedical image reconstruction by: (Language materials, printed)

Order analysis, deep learning, and connections to optimization by: (Language materials, printed)

Generative AI and LLMs : = natural language processing and generative adversarial networks / by: (Language materials, printed)

Application of deep learning methods in healthcare and medical science by: (Language materials, printed)

Deep learning in visual computing and signal processing by: (Language materials, printed)

Deep learning applications = in computer vision, signals and networks / by: (Language materials, printed)

Convergence of deep learning and artificial intelligence in internet of things by: (Language materials, printed)

Convolutional neural networks for medical image processing applications by: (Language materials, printed)

Deep learning approaches for early diagnosis of neurodegenerative diseases by: (Language materials, printed)

Handbook of research on deep learning techniques for cloud-based industrial IoT by: (Language materials, printed)

Deep learning for seismic data enhancement and representation by: (Language materials, printed)

Multidimensional signal processing: methods and applications = proceedings of the fifth International Conference on 3D Imaging Technologies--Multidimensional Signal Processing and Deep Learning.. Volume 1 / by: (Language materials, printed)

Deep learning through the prism of tensors by: (Language materials, printed)

Building scalable deep learning pipelines on AWS = develop, train, and deploy deep learning models / by: (Language materials, printed)

Hands-on deep learning = a guide to deep learning with projects and applications / by: (Language materials, printed)

Textual emotion classification using deep broad learning by: (Language materials, printed)

Deep generative modeling by: (Language materials, printed)

Deep learning and visual artificial intelligence = proceedings of ICDLAI 2024 / by: (Language materials, printed)