Books — deep learning

EN
Modern Time Series Forecasting with Python. Second Edition

Modern Time Series Forecasting with Python. Second Edition

A

Manu Joseph, Jeffrey Tackes

AI and ML
EN
Deep Learning with PyTorch, Second Edition: Training and Applying Deep Learning and Generative AI Models

Deep Learning with PyTorch, Second Edition: Training and Applying Deep Learning and Generative AI Models

A

Howard Huang, Eli Stevens, Luca Antiga, Thomas Viehmann

AI and ML
EN
Deep Learning with Keras: Implement Neural Networks with Keras on Theano and TensorFlow

Deep Learning with Keras: Implement Neural Networks with Keras on Theano and TensorFlow

A

Antonio Gulli, Sujit Pal

AI and ML
EN
PyTorch: The Practical Guide

PyTorch: The Practical Guide

A

Bert Gollnick

AI and ML
EN
Deep Learning: A Visual Approach

Deep Learning: A Visual Approach

A

Andrew Glassner

AI and ML
EN
Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

A

Aurélien Géron

AI and ML
EN
Explainable AI with Python, Second Edition

Explainable AI with Python, Second Edition

A

Antonio Di Cecco, Leonida Gianfagna

AI and ML
EN
Applied Natural Language Processing with PyTorch 2.0: Master Advanced NLP Techniques, Transform Text Data into Insights, and Build Scalable AI Models with PyTorch 2.0

Applied Natural Language Processing with PyTorch 2.0: Master Advanced NLP Techniques, Transform Text Data into Insights, and Build Scalable AI Models with PyTorch 2.0

A

Dr. Deepti Chopra

AI and ML
EN
Math and Architectures of Deep Learning

Math and Architectures of Deep Learning

A

Krishnendu Chaudhury, Ananya H. Ashok, Sujay Narumanchi, Devashish Shankar

AI and ML
RU
Deep Learning with Python. Keras, TensorFlow, PyTorch

Deep Learning with Python. Keras, TensorFlow, PyTorch

B

Антонио Гулли, Амит Капур

AI and ML
EN
Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems

A

Aurélien Géron

AI and ML
RU
Python for Machine Learning: Classical and Deep Learning with Python using TensorFlow 2 and scikit-learn

Python for Machine Learning: Classical and Deep Learning with Python using TensorFlow 2 and scikit-learn

A

Андреас Мюллер, Сара Гвидо

AI and ML
EN
Building and Training Generative AI Models: A Practical Guide to Generative AI Development and Scaling

Building and Training Generative AI Models: A Practical Guide to Generative AI Development and Scaling

A

Irena Cronin

AI and ML
EN
Programming Neural Networks with Python

Programming Neural Networks with Python

A

Joachim Steinwendner, Roland Schwaiger

AI and ML
RU
Large-Scale Machine Learning with Python

Large-Scale Machine Learning with Python

A

Бастиан Шарден, Лука Массарон, Альберто Боскетти

AI and ML
RU
Deep Learning Patterns and Practices

Deep Learning Patterns and Practices

A

Эндрю Ферлитш

AI and ML
RU
Introduction to Deep Learning

Introduction to Deep Learning

A

Евгений Черняк

AI and ML
RU
Neural Networks and Deep Learning: A Training Course

Neural Networks and Deep Learning: A Training Course

A

Чару Аггарвал

AI and ML
RU
The Little Learner: A Marvelous Machine Learning

The Little Learner: A Marvelous Machine Learning

A

Дэниел П. Фридман, Анураг Мендхекар

AI and ML
RU
Smart Mobile Projects with TensorFlow. 10+ Artificial Intelligence Applications Built Using TensorFlow Mobile and TensorFlow Lite Platforms for iOS, Android, and Raspberry Pi

Smart Mobile Projects with TensorFlow. 10+ Artificial Intelligence Applications Built Using TensorFlow Mobile and TensorFlow Lite Platforms for iOS, Android, and Raspberry Pi

A

Джефф Танг

AI and ML
RU
3D Deep Learning with Python. Develop Computer Vision Models Using 3D Data with PyTorch3D and Other Tools

3D Deep Learning with Python. Develop Computer Vision Models Using 3D Data with PyTorch3D and Other Tools

A

Ксудонг Ма, Вишах Хегде, Лилит Йольан

AI and ML
RU
Deep Learning with Python. The Complete Guide to Building Artificial Intelligence Applications

Deep Learning with Python. The Complete Guide to Building Artificial Intelligence Applications

B

Александр Гладков, Евгений Бурнаев

AI and ML
RU
Machine Learning Technologies. Educational and Methodological Guide

Machine Learning Technologies. Educational and Methodological Guide

A

П.Е. Гладилин, К.О. Боченина

AI and ML
RU
Fundamentals of Artificial Intelligence: A Non-Technical Introduction

Fundamentals of Artificial Intelligence: A Non-Technical Introduction

A

Том Таулли

AI and ML
RU
Deep Learning with Python. Keras, TensorFlow, and scikit-learn Libraries

Deep Learning with Python. Keras, TensorFlow, and scikit-learn Libraries

B

Дж. В. Вандер Плас

AI and ML
RU
Python Programming for Machine Learning: From Fundamentals to Building Intelligent Applications

Python Programming for Machine Learning: From Fundamentals to Building Intelligent Applications

B

Игорь Семененко

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
Machine Learning. From Basics to Advanced Models

Machine Learning. From Basics to Advanced Models

A

Саймон Принс

AI and ML
RU
Applied Deep Learning. A Case-Based Approach to Understanding Deep Neural Networks.

Applied Deep Learning. A Case-Based Approach to Understanding Deep Neural Networks.

A

Умберто Микелуччи

AI and ML
RU
Applied Linear Algebra for Data Scientists. From Key Concepts to Applications Using Python

Applied Linear Algebra for Data Scientists. From Key Concepts to Applications Using Python

A

Майк Икс Коэн

Algorithms and theory
RU
Programming with PyTorch: Building Deep Learning Applications

Programming with PyTorch: Building Deep Learning Applications

A

Ян Пойнтер (Ian Pointer)

AI and ML
RU
Fundamentals of Deep Learning. Building Algorithms for Next-Generation Artificial Intelligence

Fundamentals of Deep Learning. Building Algorithms for Next-Generation Artificial Intelligence

A

Нихиль Будума, Николас Локашо

AI and ML
RU
Natural Language Processing with TensorFlow

Natural Language Processing with TensorFlow

A

Тушан Ганегедара

AI and ML
RU
Natural Language Processing in Action. Understanding, Analyzing, and Generating Text with Python

Natural Language Processing in Action. Understanding, Analyzing, and Generating Text with Python

A

Лейн Хобсон, Коул Ховард, Ханнес Макс Хапке

AI and ML
RU
Neural Network Methods in Natural Language Processing

Neural Network Methods in Natural Language Processing

A

Йоав Гольдберг

AI and ML
RU
Neural information processing systems

Neural information processing systems

A

С. В. Макартичян, Н. С. Кузнецова, С. С. Дементьев

AI and ML
RU
Neural Networks. Evolution

Neural Networks. Evolution

B

Каниа Алексеевич Кан

AI and ML
RU
Reliability of Neural Networks: Strengthening AI Resilience to Deception

Reliability of Neural Networks: Strengthening AI Resilience to Deception

A

Кэти Уорр

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
Neural Networks. Natural Language Processing

Neural Networks. Natural Language Processing

A

Джейд Картер

AI and ML
RU
Lekun I How the Machine Learns The Neural Network Revolution

Lekun I How the Machine Learns The Neural Network Revolution

A
AI and ML
RU
Neural Networks in Python. Fundamentals of AI and Machine Learning

Neural Networks in Python. Fundamentals of AI and Machine Learning

A

Куликова И. В.

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
Kan K Neural Networks Evolution 2019

Kan K Neural Networks Evolution 2019

B
AI and ML
RU
Mastering Transformer Architecture. Developing Modern Models with Advanced Natural Language Processing Techniques

Mastering Transformer Architecture. Developing Modern Models with Advanced Natural Language Processing Techniques

A

Саваш Йылдырым, Мейсам Асгари-Ченаглу

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 with Python Examples

Artificial Intelligence with Python Examples

A
Programming languages
RU
Introduction to PyTorch: Deep Learning for Natural Language Processing

Introduction to PyTorch: Deep Learning for Natural Language Processing

A

Делип Рао, Брайан Макмахан

AI and ML
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