Books — deep learning

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
EN
Intro to Python® for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud

Intro to Python® for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud

A

Paul Deitel & Harvey Deitel

AI and ML
EN
Statistical Process Monitoring using Advanced Data-Driven and Deep Learning Approaches: Theory and Practical Applications

Statistical Process Monitoring using Advanced Data-Driven and Deep Learning Approaches: Theory and Practical Applications

A

Fouzi Harrou, Ying Sun, Amanda S. Hering, Muddu Madakyaru, Abdelkader Dairi

Algorithms and theory
EN
Hands-on TinyML: Harness the power of Machine Learning on the edge devices

Hands-on TinyML: Harness the power of Machine Learning on the edge devices

A

Rohan Banerjee

Embedded systems
EN
Deep Learning with Python

Deep Learning with Python

A

Франсуа Шолле

AI and ML
EN
Deep Learning and the Game of Go

Deep Learning and the Game of Go

A

Max Pumperla, Kevin Ferguson

AI and ML
EN
Introduction to Python

Introduction to Python

A

James P. Meyer

Programming languages
RU
Reinforcement Learning Algorithms in Python. Description and Development of Artificial Intelligence Algorithms

Reinforcement Learning Algorithms in Python. Description and Development of Artificial Intelligence Algorithms

A

Андреа Лонца

AI and ML
EN
Advanced Forecasting with Python: Mastering Modern Forecasting Techniques with Machine Learning and Cloud Tools, Second Edition

Advanced Forecasting with Python: Mastering Modern Forecasting Techniques with Machine Learning and Cloud Tools, Second Edition

A

Joos Korstanje

AI and ML
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
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
Advanced Data Science and Analytics with Python

Advanced Data Science and Analytics with Python

A

Jesús Rogel-Salazar

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
Reinforcement Learning: Theory and Python Implementation

Reinforcement Learning: Theory and Python Implementation

A

Zhiqing Xiao

AI and ML
EN
Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

A

Banglore Vijay Kumar Vishwas, Sri Ram Macharla

AI and ML
← 12345 →