Books / AI and ML / Neural networks

AI and ML

All Programming languages 1540AI and ML 762Algorithms and theory 505Software Development 472WEB development 390DevOps and Infrastructure 272Cybersecurity 225OS and System 172Other 169Databases 146Game development 143Embedded systems 131IT management 106
All Data Science 253Machine learning 151LLM 107Neural networks 91ChatGPT 37TensorFlow 29Computer Vision 26PyTorch 21MLOps 18Natural Language Processing 12熊猫 9AI Agents 1
All 2026 62025 82024 162023 122022 52021 62020 132019 52018 62017 32016 2
RU
Deep Learning and Data Analysis. A Practical Guide

Deep Learning and Data Analysis. A Practical Guide

A

Dmitry Malov

AI and ML
RU
Grokking Deep Reinforcement Learning

Grokking Deep Reinforcement Learning

A

Miguel Morales

AI and ML
RU
Neural Networks. Audio Data Processing

Neural Networks. Audio Data Processing

A

Jade Carter

AI and ML
RU
Neural Networks. Natural Language Processing

Neural Networks. Natural Language Processing

A

Jade Carter

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

Deep Learning with Python. Second International Edition

A

François Chollet

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

PDF quality score:

A Excellent — copyable text, TOC, metadata B Good — text present, some data missing C Average — text is partially extractable D Poor — most likely a scan F Scan without OCR — text cannot be extracted