Books / AI and ML / Neural networks

AI and ML

All Programming languages 1297AI and ML 661Algorithms and theory 471Software Development 391WEB development 334DevOps and Infrastructure 233Cybersecurity 218Databases 144OS and System 143Game development 122Embedded systems 119Other 109IT management 100
All Data Science 209Machine learning 133Neural networks 87LLM 85ChatGPT 31TensorFlow 27Computer Vision 24PyTorch 19MLOps 17Natural Language Processing 12熊猫 9AI Agents 1
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Deep Learning for Life Sciences: with Python Notebooks for Examples and Exercises

Deep Learning for Life Sciences: with Python Notebooks for Examples and Exercises

A

Filippo Biscarini, Nelson Nazzicari

AI and ML
EN
Practical Neural Networks in Python and MATLAB

Practical Neural Networks in Python and MATLAB

A

Chunwei Zhang, Tianpeng Li, Ying Dai, Li Sun, Ardashir Mohammadzadeh

AI and ML
RU
Generative AI in Practice: Transformers and Diffusion Models

Generative AI in Practice: Transformers and Diffusion Models

A

Омар Сансевьеро, Педро Куэнка, Аполинарио Пассос, Джонатан Уитакер

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
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
Deep Learning with Python. Third Edition

Deep Learning with Python. Third Edition

A

Франсуа Шолле, Мэттью Уотсон

AI and ML
RU
Autobiography of a Neural Network

Autobiography of a Neural Network

C

Нейросеть (сост. М.Р. Брослав, О.А. Яблоков)

AI and ML
RU
Applying Neural Networks for Multimedia Content Processing (100 Python Examples)

Applying Neural Networks for Multimedia Content Processing (100 Python Examples)

A

С.А. Молодяков

AI and ML
RU
Deep Learning: Principles and Concepts

Deep Learning: Principles and Concepts

A

Кристофер М. Бишоп, Хью Бишоп

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
Programming Neural Networks with Python

Programming Neural Networks with Python

A

Joachim Steinwendner, Roland Schwaiger

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
EN
Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

A

Mark Ryan, Luca Massaron

AI and ML
EN
Graph Neural Networks in Action

Graph Neural Networks in Action

A

Keita Broadwater, Namid Stillman

AI and ML
EN
Deep Learning: Foundations and Concepts

Deep Learning: Foundations and Concepts

A

Christopher M. Bishop, Hugh Bishop

AI and ML
RU
Graph Neural Networks in Python

Graph Neural Networks in Python

A

Максим Лабонн, Артем Груздев

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. 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 with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

A

Кайл Галлатин, Крис Элбон

AI and ML
EN
Python for Computer Science and Data Science: AI, Machine Learning and Deep Learning

Python for Computer Science and Data Science: AI, Machine Learning and Deep Learning

A

Paul Deitel, Harvey Deitel

AI and ML
EN
Using Stable Diffusion with Python: Leverage Python to control and automate high-quality AI image generation using Stable Diffusion

Using Stable Diffusion with Python: Leverage Python to control and automate high-quality AI image generation using Stable Diffusion

A

Andrew Zhu (Shudong Zhu)

AI and ML
EN
Keras

Keras

A

Hayden Van Der Post

AI and ML
EN
Deep Learning with JAX

Deep Learning with JAX

A

Grigory Sapunov

AI and ML
EN
Demystifying Deep Learning: An Introduction to the Mathematics of Neural Networks

Demystifying Deep Learning: An Introduction to the Mathematics of Neural Networks

A

Douglas J. Santry

AI and ML
EN
Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

A

Suneeta Mall

AI and ML
EN
Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python

Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python

A

Sofien Kaabar

AI and ML
EN
Edge Intelligence: Deep learning-enabled edge computing

Edge Intelligence: Deep learning-enabled edge computing

A

Shajulin Benedict

AI and ML
EN
Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

A

Vitor Cerqueira, Luís Roque

AI and ML
EN
Hands-on Deep Learning: A Guide to Deep Learning with Projects and Applications

Hands-on Deep Learning: A Guide to Deep Learning with Projects and Applications

A

Harsh Bhasin

AI and ML
RU
Artificial Intelligence in Strategy Games. Part I: Computer Chess

Artificial Intelligence in Strategy Games. Part I: Computer Chess

A

Илья Шпигорь

AI and ML
RU
Grokking Deep Reinforcement Learning

Grokking Deep Reinforcement Learning

A

Мигель Моралес

AI and ML
RU
Neural Networks. Audio Data Processing

Neural Networks. Audio Data Processing

A

Джейд Картер

AI and ML
RU
Neural Networks. Natural Language Processing

Neural Networks. Natural Language Processing

A

Джейд Картер

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

Deep Learning with Python. Second International Edition

A

Франсуа Шолле

AI and ML
EN
Applied Deep Learning: Design and implement your own Neural Networks to solve real-world problems

Applied Deep Learning: Design and implement your own Neural Networks to solve real-world problems

A

Dr. Neeraj Kumar, Dr. Rajkumar Tekchandani

AI and ML
EN
Python Deep Learning

Python Deep Learning

A

Ivan Vasilev

AI and ML
EN
Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

A

David Foster

AI and ML
EN
The Science of Deep Learning

The Science of Deep Learning

A

Iddo Drori

AI and ML
EN
Generative Deep Learning with Python: Unleashing the Creative Power of AI

Generative Deep Learning with Python: Unleashing the Creative Power of AI

A

Cuantum Technologies

AI and ML
EN
Deep Learning for Crack-Like Object Detection

Deep Learning for Crack-Like Object Detection

A

Kaige Zhang, Heng-Da Cheng

AI and ML
EN
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques

Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques

A

Kumar Abhishek, Dr. Mounir Abdelaziz

AI and ML
RU
Deep Learning with Python. Second Edition

Deep Learning with Python. Second Edition

B

Франсуа Шолле

AI and ML
RU
Deep Learning Patterns and Practices

Deep Learning Patterns and Practices

A

Эндрю Ферлитш

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. The Shortest and Clearest Course

Deep Learning. The Shortest and Clearest Course

A

Джон Д. Келлехер

AI and ML
EN
Time Series Forecasting in Python

Time Series Forecasting in Python

A

Marco Peixeiro

AI and ML
EN
Deep Learning: A Visual Approach

Deep Learning: A Visual Approach

A

Andrew Glassner

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
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
Deep Learning: Easy Project Development with Python

Deep Learning: Easy Project Development with Python

A

Сет Вейдман

AI and ML
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