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  • Tag: computer vision

Books — computer vision

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
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
RU
Applying OpenCV Functions in Computer Vision (60 Python Examples)

Applying OpenCV Functions in Computer Vision (60 Python Examples)

A

С.А. Молодяков

AI and ML
RU
Computer Vision. Fundamentals and Algorithms with Examples in Matlab

Computer Vision. Fundamentals and Algorithms with Examples in Matlab

A

Питер Корк

AI and ML
RU
Digital Image Processing in OpenCV. Workshop

Digital Image Processing in OpenCV. Workshop

A

А. И. Матвеев

Algorithms and theory
RU
Learning OpenCV 3. Developing Computer Vision Programs in C++ Using the OpenCV Library

Learning OpenCV 3. Developing Computer Vision Programs in C++ Using the OpenCV Library

A

Адриан Кэлер, Гэри Брэдски

AI and ML
RU
Computer Vision with Python. First Steps

Computer Vision with Python. First Steps

A

Э. Д. Шакирьянов

AI and ML
RU
Computer Vision

Computer Vision

A

Л. Шапиро, Дж. Стокман

AI and ML
RU
Computer Vision. Analysis

Computer Vision. Analysis

A
AI and ML
RU
Neural Networks. Ready-made Projects

Neural Networks. Ready-made Projects

A

Джеид Картер

AI and ML
RU
Convolutional Neural Networks

Convolutional Neural Networks

B

Джейд Картер

AI and ML
RU
Deep Learning with fastai and PyTorch: Minimal Formulas, Minimal Code, Maximum Efficiency

Deep Learning with fastai and PyTorch: Minimal Formulas, Minimal Code, Maximum Efficiency

A

Джереми Ховард и Сильвейн Гуггер

AI and ML
RU
Artificial Intelligence for Fashion

Artificial Intelligence for Fashion

A

Андрей Голуб

AI and ML
RU
Solving Deep Learning Problems Using PyTorch and PyTorch Lightning Frameworks

Solving Deep Learning Problems Using PyTorch and PyTorch Lightning Frameworks

A

А. И. Елисеев, Ю. В. Минин, Ю. В. Кулаков

AI and ML
RU
Deep Learning with Python. Second International Edition

Deep Learning with Python. Second International Edition

A

Франсуа Шолле

AI and ML
RU
Deep Learning Illustrated. A Visual Guide to Artificial Intelligence

Deep Learning Illustrated. A Visual Guide to Artificial Intelligence

A

Джон Крон, Грант Бейлевельд, Аглаэ Бассенс

AI and ML
RU
Deep Learning

Deep Learning

A

Николенко С., Кадурин А., Архангельская Е.

AI and ML
RU
Biological and Computer Vision

Biological and Computer Vision

A

Гэбриел Крейман

AI and ML
EN
Deep Learning with Python

Deep Learning with Python

A

Франсуа Шолле

AI and ML
EN
Python Practice Lab: Learn How to Code through Interactive Examples

Python Practice Lab: Learn How to Code through Interactive Examples

A

Angelica Lim, Victor Cheung

Programming languages
EN
Artificial Intelligence with Python. Second Edition: Your complete guide to building intelligent apps using Python 3.x and TensorFlow 2

Artificial Intelligence with Python. Second Edition: Your complete guide to building intelligent apps using Python 3.x and TensorFlow 2

A

Alberto Artasanchez, Prateek Joshi

AI and ML
EN
Azure AI Fundamentals: Study Guide and Practice Questions for the Microsoft AI-900 Exam

Azure AI Fundamentals: Study Guide and Practice Questions for the Microsoft AI-900 Exam

A

David Voss

DevOps and Infrastructure
EN
TensorFlow in Action

TensorFlow in Action

A

Thushan Ganegedara

AI and ML
EN
Python Deep Learning

Python Deep Learning

A

Ivan Vasilev

AI and ML
RU
OpenCV and Java. Image Processing and Computer Vision

OpenCV and Java. Image Processing and Computer Vision

A

Николай Прохоренок

AI and ML
EN
Modern Algorithms for Image Processing: Computer Imagery by Example Using C#

Modern Algorithms for Image Processing: Computer Imagery by Example Using C#

A

Vladimir Kovalevsky

AI and ML
EN
Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning

Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning

A

Margaux Masson-Forsythe

AI and ML
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