Books — deep learning

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

Ян Лекун

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

К. Кан

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

Пратик Джоши

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
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
Artificial Intelligence for Dummies

Artificial Intelligence for Dummies

A

Джон Пол Мюллер, Лука Массарон

AI and ML
RU
Python: Artificial Intelligence, Big Data, and Cloud Computing

Python: Artificial Intelligence, Big Data, and Cloud Computing

A

Пол Дейтел, Харви Дейтел

AI and ML
RU
Deep Reinforcement Learning: Theory and Practice in Python

Deep Reinforcement Learning: Theory and Practice in Python

A

Лаура Грессер, Ван Лун Кенг

AI and ML
RU
Deep Learning with R and Keras 2022 by Chollet

Deep Learning with R and Keras 2022 by Chollet

A

Ф. Шолле

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 and the Game of Go

Deep Learning and the Game of Go

A

Макс Памперла, Кевин Фергюсон

AI and ML
RU
Deep Learning for Search Engines

Deep Learning for Search Engines

A

Томмазо Теофили

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. The Shortest and Clearest Course

Deep Learning. The Shortest and Clearest Course

A

Джон Д. Келлехер

AI and ML
RU
Deep Learning

Deep Learning

A

Николенко С., Кадурин А., Архангельская Е.

AI and ML
RU
Introduction to Neural Network Modeling

Introduction to Neural Network Modeling

A

А. П. Сергеев, Д. А. Тарасов

AI and ML
RU
Biological and Computer Vision

Biological and Computer Vision

A

Гэбриел Крейман

AI and ML
RU
Keras deep learning library Neural network implementation

Keras deep learning library Neural network implementation

D

Антонио Джулли, Суджит Пал

AI and ML
RU
Terrence Sejnowski. The Machine Learning Anthology. The Most Important AI Research of the Last 60 Years

Terrence Sejnowski. The Machine Learning Anthology. The Most Important AI Research of the Last 60 Years

A

Терренс Сейновски

AI and ML
RU
Algorithms. The Shortest and Clearest Course

Algorithms. The Shortest and Clearest Course

A

Панос Луридас

Algorithms and theory
RU
Grokking Deep Learning

Grokking Deep Learning

A

Эндрю Траск

AI and ML
EN
The Elements of Differentiable Programming

The Elements of Differentiable Programming

A

Mathieu Blondel, Vincent Roulet

AI and ML
EN
Text Analytics with Python: A Practitioner’s Guide to Natural Language Processing, Second Edition

Text Analytics with Python: A Practitioner’s Guide to Natural Language Processing, Second Edition

A

Dipanjan Sarkar

AI and ML
EN
Java Deep Learning Essentials

Java Deep Learning Essentials

A

Yusuke Sugomori

AI and ML
EN
Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

A

Taweh Beysolow II

AI and ML
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