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  • Tag: neural networks

Books — neural networks

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
Build a Text-to-Image Generator (from Scratch) With transformers and diffusions

Build a Text-to-Image Generator (from Scratch) With transformers and diffusions

A

Mark Liu

AI and ML
EN
Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines

Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines

A

Kirill Kolodiazhnyi

AI and ML
EN
Grokking AI Algorithms, Second Edition: How AI solves complex problems

Grokking AI Algorithms, Second Edition: How AI solves complex problems

A

Rishal Hurbans

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
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
Autobiography of a Neural Network. The Artificial Intelligence That Learned to Communicate

Autobiography of a Neural Network. The Artificial Intelligence That Learned to Communicate

C

М.Р. Брослав, О.А. Яблокова

Algorithms and theory
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 Programming for Machine Learning and Data Analysis

Python Programming for Machine Learning and Data Analysis

A

Игорь Семенов

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
Programming Neural Networks with Python

Programming Neural Networks with Python

A

Joachim Steinwendner, Roland Schwaiger

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
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 for Absolute Beginners. An Introductory Course Explained in Simple Language

Machine Learning for Absolute Beginners. An Introductory Course Explained in Simple Language

A

Оливер Теобальд

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
Creating a neural network

Creating a neural network

A

Тарик Рашид

AI and ML
RU
Artificial Intelligence Systems. Neural Network Modeling in MATLAB. Laboratory Workshop

Artificial Intelligence Systems. Neural Network Modeling in MATLAB. Laboratory Workshop

A

П. С. Романов, И. П. Романова

AI and ML
RU
Stories about mathematics with examples in Python and C

Stories about mathematics with examples in Python and C

B

Елисеев Дмитрий

Algorithms and theory
RU
Pattern recognition and machine learning

Pattern recognition and machine learning

A

Кристофер М. Бишоп

Algorithms and theory
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
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
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 Artificial Intelligence with Python Examples. Self-Study Guide

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

A

Анатолий Постолит

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
The Elements of Statistical Learning: Data Mining, Inference, and Prediction

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

A

Тревор Хасти, Роберт Тибширани, Джером Фридман

AI and ML
RU
AI Fundamentals

AI Fundamentals

F
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
Fuzzy Models and Networks

Fuzzy Models and Networks

A

В. В. Борисов, В. В. Круглов, А. С. Федулов

AI and ML
RU
Basic Mathematics for Artificial Intelligence: Next-Level Math for Efficient and Successful AI Systems

Basic Mathematics for Artificial Intelligence: Next-Level Math for Efficient and Successful AI Systems

A

Хала Нельсон

Algorithms and theory
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
Neural Networks. Natural Language Processing

Neural Networks. Natural Language Processing

A

Джейд Картер

AI and ML
RU
Artificial Intelligence

Artificial Intelligence

A

Роман Душкин

AI and ML
RU
Machine Learning: Fundamentals, Algorithms, and Practical Applications

Machine Learning: Fundamentals, Algorithms, and Practical Applications

A

Джереми Уатт, Реза Борхани, Аггелос К. Катсаггелос

AI and ML
RU
Machine Learning and TensorFlow

Machine Learning and TensorFlow

A

Нишант Шакла, Кеннет Фриклс

AI and ML
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