• Books
  • Tag: computer vision

Books — computer vision

EN
Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft Windows

Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft Windows

A

Thimira Amaratunga

AI and ML
EN
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets

Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets

A

Timothy Masters

Programming languages
EN
Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision

Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision

A

Karm Veer Arya, Ciro Rodriguez Rodriguez, Saurabh Singh, Abhishek Singhal

AI and ML
EN
Data Labeling in Machine Learning with Python

Data Labeling in Machine Learning with Python

A

Vijaya Kumar Suda

AI and ML
EN
Transformers for Natural Language Processing and Computer Vision, Third Edition

Transformers for Natural Language Processing and Computer Vision, Third Edition

A

Denis Rothman

AI and ML
EN
OpenCV Computer Vision with Python

OpenCV Computer Vision with Python

A

Joseph Howse

AI and ML
EN
Learning Image Processing with OpenCV

Learning Image Processing with OpenCV

A

Gloria Bueno García, Oscar Deniz Suarez, José Luis Espinosa Aranda, Jesus Salido Tercero, Ismael Serrano Gracia, Noelia Vállez Enano

AI and ML
EN
OpenCV By Example

OpenCV By Example

A

Prateek Joshi, David Millán Escrivá, Vinícius Godoy

AI and ML
EN
OpenCV 3.0 Computer Vision with Java

OpenCV 3.0 Computer Vision with Java

A

Daniel Lélis Baggio

AI and ML
EN
OpenCV with Python Blueprints

OpenCV with Python Blueprints

A

Michael Beyeler

AI and ML
EN
Hands-On ML Projects with OpenCV: Master Computer Vision and Machine Learning using OpenCV and Python

Hands-On ML Projects with OpenCV: Master Computer Vision and Machine Learning using OpenCV and Python

A

Mugesh S.

AI and ML
EN
Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library

Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library

A

Adrian Kaehler & Gary Bradski

AI and ML
EN
OpenCV: Computer Vision Projects with Python

OpenCV: Computer Vision Projects with Python

A

Joseph Howse, Prateek Joshi, Michael Beyeler

AI and ML
EN
Learning OpenCV 3 Computer Vision with Python Second Edition

Learning OpenCV 3 Computer Vision with Python Second Edition

A

Joe Minichino, Joseph Howse

AI and ML
EN
OpenCV 3.x with Python By Example Second Edition

OpenCV 3.x with Python By Example Second Edition

B

Gabriel Garrido, Prateek Joshi

AI and ML
EN
Machine Learning for OpenCV

Machine Learning for OpenCV

A

Michael Beyeler

AI and ML
EN
Pro Processing for Images and Computer Vision with OpenCV

Pro Processing for Images and Computer Vision with OpenCV

A

Bryan WC Chung

AI and ML
EN
Handbook of Face Recognition

Handbook of Face Recognition

A

Stan Z. Li, Anil K. Jain, Jiankang Deng

AI and ML
RU
Programming Computer Vision with Python

Programming Computer Vision with Python

F
WEB development
EN
Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects

Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects

A

Ayush Vaishya

AI and ML
RU
Image Processing with OpenCV

Image Processing with OpenCV

A

Глория Буэно Гарсия, Оскар Дениз Суарес, Хосе Луис Эспиноса Аранда, Хесус Салидо Терсеро, Исмаэль Серрано Грасиа, Ноэлия Валлез Энано

AI and ML
EN
Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV

Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV

A

Jeff Cicolani

Embedded systems
EN
Learning OpenCV 3 Application Development

Learning OpenCV 3 Application Development

A

Samyak Datta

AI and ML
EN
Android Application Programming with OpenCV

Android Application Programming with OpenCV

A

Joseph Howse

Software Development
EN
Azure AI Fundamentals (AI-900) Study Guide: In-Depth Exam Prep and Practice

Azure AI Fundamentals (AI-900) Study Guide: In-Depth Exam Prep and Practice

A

Tom Taulli

DevOps and Infrastructure
EN
Image Processing with Python: Theory, Practice, and Applications

Image Processing with Python: Theory, Practice, and Applications

A

Erik Cuevas, Alma Nayeli Rodriguez-Vazquez, Beatriz A. Rivera-Aguilar, Jesús A. López-Luquín, Carlos Guzmán-Rosales

AI and ML
EN
Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

B

Joseph Awange, Béla Paláncz, Lajos Völgyesi

AI and ML
EN
Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques

Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques

A

M. Arshad Siddiqui

AI and ML
RU
Anirad, K. et al. - Artificial Intelligence and Computer Vision. Real Projects with Python, Keras, and TensorFlow (O’Reilly Bestsellers) - 2023

Anirad, K. et al. - Artificial Intelligence and Computer Vision. Real Projects with Python, Keras, and TensorFlow (O’Reilly Bestsellers) - 2023

A

К. Анирад

AI and ML
RU
Artificial Intelligence: A Modern Approach. Fourth Edition. Volume 3. Learning, Perception, and Action

Artificial Intelligence: A Modern Approach. Fourth Edition. Volume 3. Learning, Perception, and Action

A

Стюарт Рассел, Питер Норвиг

Algorithms and theory
RU
Deep Learning for Computer Vision Systems

Deep Learning for Computer Vision Systems

A

М. В. Ронкин, А. Ю. Долганов

AI and ML
EN
Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI

Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI

A

Sebastian Raschka

AI and ML
RU
Deep Learning with Python. Second Edition

Deep Learning with Python. Second Edition

B

Франсуа Шолле

AI and ML
RU
PyTorch. Illuminating Deep Learning

PyTorch. Illuminating Deep Learning

A

Эли Стивенс, Лука Антига, Томас Виман

AI and ML
EN
Visual Object Tracking: An Evaluation Perspective

Visual Object Tracking: An Evaluation Perspective

A

Xin Zhao, Shiyu Hu, Xu-Cheng Yin

AI and ML
EN
Hugging Face in Action

Hugging Face in Action

A

Wei-Meng Lee

AI and ML
EN
Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence

Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence

A

Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, Joana B. Pereira, Carlo Manzo

AI and ML
EN
Modern Computer Vision with PyTorch. Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

Modern Computer Vision with PyTorch. Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

A

V Kishore Ayyadevara, Yeshwanth Reddy

AI and ML
EN
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

A

Bharath Ramsundar, Reza Bosagh Zadeh

AI and ML
EN
3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows

3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows

A

Florent Poux

AI and ML
EN
AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning

AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning

A

Laurence Moroney

AI and ML
EN
Transformers: The Definitive Guide. Applications Beyond NLP

Transformers: The Definitive Guide. Applications Beyond NLP

A

Nicole Koenigstein

AI and ML
EN
Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem

Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem

A

Alex Khang, Vugar Abdullayev, Olena Hrybiuk, Arvind K. Shukla

AI and ML
EN
3D Computer Vision: Efficient Methods and Applications

3D Computer Vision: Efficient Methods and Applications

A

Christian Wöhler

AI and ML
RU
Generative Adversarial Networks. Projects. Build next-generation generative networks using TensorFlow and Keras libraries.

Generative Adversarial Networks. Projects. Build next-generation generative networks using TensorFlow and Keras libraries.

A

Кайлаш Ахирвар

AI and ML
RU
Pattern recognition systems

Pattern recognition systems

A

А.В. Бобков

Algorithms and theory
RU
S.N. Yaryshev, V.A. Ryzhova, M.A. Volynsky. Technical Vision Systems in Detection, Measurement, and Control Tasks

S.N. Yaryshev, V.A. Ryzhova, M.A. Volynsky. Technical Vision Systems in Detection, Measurement, and Control Tasks

A

С.Н. Ярышев, В.А. Рыжова, М.А. Волынский

AI and ML
RU
Fundamentals of Artificial Intelligence with Python Examples. Self-Study Guide. 2nd Edition

Fundamentals of Artificial Intelligence with Python Examples. Self-Study Guide. 2nd Edition

A

Анатолий Постолит

AI and ML
RU
Computer Vision Programming with Raspberry Pi. Second Edition. Develop and Deploy Computer Vision Applications with Raspberry Pi, OpenCV, and Python 3

Computer Vision Programming with Raspberry Pi. Second Edition. Develop and Deploy Computer Vision Applications with Raspberry Pi, OpenCV, and Python 3

A

Эшвин Паджанкар

AI and ML
RU
Computer Vision. Modern Methods and Development Prospects

Computer Vision. Modern Methods and Development Prospects

A

Рой Дэвис, Мэтью Терк (ред.)

AI and ML
12 →