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  • Tag: neural networks

Books — neural networks

EN
Computer Science from Scratch: Building Interpreters, Emulators, and ML in Python

Computer Science from Scratch: Building Interpreters, Emulators, and ML in Python

A

David Kopec

AI and ML
EN
Deep Learning: Foundations and Concepts

Deep Learning: Foundations and Concepts

A

Christopher M. Bishop, Hugh Bishop

AI and ML
RU
Programming Artificial Intelligence in Applications

Programming Artificial Intelligence in Applications

A

М. Тим Джонс

AI and ML
EN
Generative AI in Higher Education: The ChatGPT Effect

Generative AI in Higher Education: The ChatGPT Effect

A

Cecilia Ka Yuk Chan, Tom Colloton

AI and ML
EN
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
Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

B

Joseph Awange, Béla Paláncz, Lajos Völgyesi

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
Machine Learning: A Complete Guide

Machine Learning: A Complete Guide

B

Неизвестен

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
EN
Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques

Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques

A

M. Arshad Siddiqui

AI and ML
EN
Python for Scientific Computing and Artificial Intelligence

Python for Scientific Computing and Artificial Intelligence

A

Stephen Lynch

AI and ML
RU
Deep Learning with Python. Keras and TensorFlow Libraries

Deep Learning with Python. Keras and TensorFlow Libraries

A

Франсуа Шолле

AI and ML
RU
Silaparasetty N. - Machine Learning Concepts with Python and the Jupyter Notebook Environment - 2020

Silaparasetty N. - Machine Learning Concepts with Python and the Jupyter Notebook Environment - 2020

A
AI and ML
RU
Cronin I. - Building and Training Generative AI Models - 2026

Cronin I. - Building and Training Generative AI Models - 2026

A
AI and ML
RU
Deep Learning for Computer Vision Systems

Deep Learning for Computer Vision Systems

A

М. В. Ронкин, А. Ю. Долганов

AI and ML
RU
Deep Learning Without Mathematics. Volume 1. Fundamentals

Deep Learning Without Mathematics. Volume 1. Fundamentals

A

Эндрю Гласснер

AI and ML
RU
Deep Learning Without Mathematics. Volume 2. Practice

Deep Learning Without Mathematics. Volume 2. Practice

A

Эндрю Гласснер

AI and ML
RU
Deep Learning from a Practitioner's Perspective

Deep Learning from a Practitioner's Perspective

A

Джош Паттерсон, Адам Гибсон

AI and ML
EN
Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI

Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI

A

Sebastian Raschka

AI and ML
RU
Mathematics and Architecture of Deep Learning

Mathematics and Architecture of Deep Learning

A

Кришнанду Чаудхури, Ананья Хоннедевастхана Ашок, Суджай Наруманчи, Девашиш Шанкар

Algorithms and theory
RU
Deep Learning with Python. Second Edition

Deep Learning with Python. Second Edition

B

Франсуа Шолле

AI and ML
RU
PyTorch. Illuminating Deep Learning

PyTorch. Illuminating Deep Learning

A

Эли Стивенс, Лука Антига, Томас Виман

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
RU
Machine Learning with PyTorch and Scikit-Learn

Machine Learning with PyTorch and Scikit-Learn

A

Себастьян Рашка, Юси (Хэйден) Лю, Вахид Мирджалили

AI and ML
RU
Building an LLM from Scratch

Building an LLM from Scratch

A

Себастьян Рашка

AI and ML
RU
Deep Learning in Biology and Medicine

Deep Learning in Biology and Medicine

A

Бхарат Рамсундар, Питер Истман, Патрик Уолтерс, Виджай Панде

AI and ML
RU
Evolutionary Neural Networks in Python

Evolutionary Neural Networks in Python

A

Ярослав Омельяненко

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
120 Practical Tasks

120 Practical Tasks

A

Джейд Картер

Programming languages
RU
Neural Networks. Audio Data Processing

Neural Networks. Audio Data Processing

A

Джейд Картер

AI and ML
RU
Deep Learning for Dummies

Deep Learning for Dummies

A

Джон Пол Мюллер, Лука Массарон

AI and ML
RU
Deep Learning: Principles and Concepts

Deep Learning: Principles and Concepts

A

Кристофер М. Бишоп, Хью Бишоп

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
Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing

Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing

A

Armando Vieira, Bernardete Ribeiro

AI and ML
EN
Building LLMs with PyTorch: A step-by-step guide to building advanced AI models with PyTorch

Building LLMs with PyTorch: A step-by-step guide to building advanced AI models with PyTorch

A

Anand Trivedi

AI and ML
EN
Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python

A

Pramod Singh, Avinash Manure

AI and ML
EN
Modern Computer Vision with PyTorch. Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

Modern Computer Vision with PyTorch. Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

A

V Kishore Ayyadevara, Yeshwanth Reddy

AI and ML
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
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