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Generative AI with Python Harnessing The Power Of Machine Learning And Deep Learning To Build Creative And Intelligent Systems - Code Planet 2025 EPUB Code Planet BOOKS
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Generative AI with Python Harnessing The Power Of Machine Learning And Deep Learning To Build Creative And Intelligent Systems
Author: Code Planet
Year: 2025
Pages: 305
Format: EPUB
File size: 14.0 MB
Language: ENG



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Book Description: Generative AI with Python Harnessing The Power Of Machine Learning And Deep Learning To Build Creative And Intelligent Systems Introduction: In this book, we will explore the world of generative AI, harnessing the power of machine learning and deep learning to build creative and intelligent systems. We will delve into the concepts of generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), and their applications in computer vision, natural language processing, and other domains. We will also discuss the challenges and limitations of these models, as well as the future directions and potential applications of generative AI.
Генеративный ИИ с использованием Python Сила машинного обучения и глубокого обучения для построения креативных и интеллектуальных систем Введение: В этой книге мы исследуем мир генеративного ИИ, используя силу машинного обучения и глубокого обучения для построения креативных и интеллектуальных систем. Мы углубимся в концепции генеративных моделей, включая генеративные состязательные сети (GAN) и вариационные автоэнкодеры (VAE), и их применения в компьютерном зрении, обработке естественного языка и других областях. Мы также обсудим проблемы и ограничения этих моделей, а также будущие направления и потенциальные применения генеративного ИИ.
IA générative utilisant Python pouvoir de l'apprentissage machine et de l'apprentissage profond pour construire des systèmes créatifs et intellectuels Introduction : Dans ce livre, nous explorons le monde de l'IA générative en utilisant le pouvoir de l'apprentissage machine et de l'apprentissage profond pour construire des systèmes créatifs et intellectuels. Nous allons approfondir les concepts des modèles génériques, y compris les réseaux génériques de compétition (GAN) et les encodeurs de variation (VAE), et leurs applications dans la vision par ordinateur, le traitement du langage naturel et d'autres domaines. Nous discuterons également des défis et des limites de ces modèles, ainsi que des orientations futures et des applications potentielles de l'IA générative.
Generative AI usando Python poder del aprendizaje automático y el aprendizaje profundo para construir sistemas creativos e inteligentes Introducción: En este libro exploramos el mundo de la IA generativa utilizando el poder del aprendizaje automático y el aprendizaje profundo para construir sistemas creativos e inteligentes. Profundizaremos en los conceptos de modelos generativos, incluyendo redes competitivas generativas (GAN) y codificadores de auto-variación (VAE), y sus aplicaciones en visión computarizada, procesamiento de lenguaje natural y otras áreas. También discutiremos los problemas y limitaciones de estos modelos, así como las direcciones futuras y posibles aplicaciones de la IA generativa.
IA Generativa con Python Il potere di apprendimento automatico e di apprendimento approfondito per costruire sistemi creativi e intelligenti Introduzione: In questo libro esploriamo il mondo dell'IA generale utilizzando il potere dell'apprendimento automatico e dell'apprendimento profondo per costruire sistemi creativi e intelligenti. Approfondiremo il concetto di modelli generali, incluse le reti di competizione generali (GAN) e gli autocoder variabili (VAE), e le loro applicazioni nella visione informatica, nell'elaborazione del linguaggio naturale e in altre aree. Discuteremo anche dei problemi e delle limitazioni di questi modelli, nonché delle future linee guida e potenziali applicazioni dell'intelligenza artificiale genetica.
Generative KI mit Python Die Kraft von maschinellem rnen und Deep arning zum Aufbau kreativer und intelligenter Systeme Einführung: In diesem Buch erforschen wir die Welt der generativen KI, indem wir die Kraft von maschinellem rnen und Deep arning nutzen, um kreative und intelligente Systeme aufzubauen. Wir werden tiefer in die Konzepte generativer Modelle eintauchen, einschließlich generativer kontradiktorischer Netzwerke (GANs) und variabler Auto-Encoder (VAEs), und ihre Anwendungen in Computer Vision, natürlicher Sprachverarbeitung und anderen Bereichen. Wir werden auch die Herausforderungen und Grenzen dieser Modelle sowie zukünftige Richtungen und mögliche Anwendungen generativer KI diskutieren.
Generative AI Using Python The Power of Machine arning and Deep arning to Build Creative and Intelligent Systems Wprowadzenie: W tej książce badamy świat generatywnej AI, wykorzystując moc uczenia maszynowego i głębokiego uczenia się, aby budować kreatywne i inteligentne systemy. Zagłębiamy się w koncepcje modeli generacyjnych, w tym generacyjnych sieci przeciwnych (GAN) i zmiennych autoenkoderów (VEE) oraz ich zastosowania w wizji komputerowej, naturalnym przetwarzaniu języków i innych dziedzinach. Omówimy również wyzwania i ograniczenia tych modeli, a także przyszłe kierunki i potencjalne zastosowania generatywnej sztucznej inteligencji.
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Generative AI Using Python Yaratıcı ve Akıllı stemler Oluşturmak için Makine Öğrenimi ve Derin Öğrenmenin Gücü Giriş: Bu kitapta, yaratıcı ve akıllı sistemler oluşturmak için makine öğrenimi ve derin öğrenmenin gücünü kullanarak üretken AI dünyasını keşfediyoruz. Üretken rakip ağlar (GAN'lar) ve varyasyonel otomatik kodlayıcılar (VAE'ler) dahil olmak üzere üretken modellerin kavramlarını ve bunların bilgisayar vizyonu, doğal dil işleme ve diğer alanlardaki uygulamalarını inceliyoruz. Ayrıca, bu modellerin zorluklarını ve sınırlamalarını, ayrıca gelecekteki yönleri ve üretken AI'nın potansiyel uygulamalarını tartışacağız.
الذكاء الاصطناعي التوليدي باستخدام بايثون قوة التعلم الآلي والتعلم العميق لبناء أنظمة إبداعية وذكية مقدمة: في هذا الكتاب، نستكشف عالم الذكاء الاصطناعي المولد باستخدام قوة التعلم الآلي والتعلم العميق لبناء أنظمة إبداعية وذكية. نتعمق في مفاهيم النماذج التوليدية، بما في ذلك شبكات الخصومة التوليدية (GANs) والمشفرات الذاتية المتنوعة (VAEs)، وتطبيقاتها في رؤية الكمبيوتر ومعالجة اللغة الطبيعية ومجالات أخرى. سنناقش أيضًا تحديات وقيود هذه النماذج، بالإضافة إلى الاتجاهات المستقبلية والتطبيقات المحتملة للذكاء الاصطناعي المولد.

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