BOOKS - Math and Architectures of Deep Learning (Final Release)
Math and Architectures of Deep Learning (Final Release) - Krishnendu Chaudhury 2024 PDF Manning Publications BOOKS
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Math and Architectures of Deep Learning (Final Release)
Author: Krishnendu Chaudhury
Year: 2024
Pages: 553
Format: PDF
File size: 75.9 MB
Language: ENG



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Book Description: Math and Architectures of Deep Learning Final Release Krishnendu Chaudhury 2024 553 Manning Publications Genre: Technology, Artificial Intelligence, Machine Learning Summary: In "Math and Architectures of Deep Learning Final Release we delve into the intricacies of deep learning models and their underlying mathematical and architectural concepts. This comprehensive guide provides a detailed explanation of the mathematical foundations of deep learning, enabling readers to customize, maintain, and explain these complex models more effectively. The book offers a unique blend of mathematical theory and practical implementation using PyTorch code snippets, making it an invaluable resource for those seeking to master deep learning. Target Audience: This book is designed for individuals with a basic understanding of Python programming and algebra, as well as calculus. It is ideal for data scientists, machine learning practitioners, researchers, and anyone looking to gain a deeper understanding of the mathematical underpinnings of deep learning models.
Math and Architectures of Deep arning Final Release Krishnendu Chaudhury 2024 553 Manning Publications Genre: Technology, Artificial Intelligence, Machine arning Summary: In «Math and Architectures of Deep arning Final Release» мы углубляемся в тонкости моделей глубокого обучения и лежащие в них математические и архитектурные концепции. Это всеобъемлющее руководство содержит подробное объяснение математических основ глубокого обучения, позволяя читателям более эффективно настраивать, поддерживать и объяснять эти сложные модели. Книга предлагает уникальную смесь математической теории и практической реализации с использованием фрагментов кода PyTorch, что делает ее бесценным ресурсом для тех, кто стремится освоить глубокое обучение. Целевая аудитория: Эта книга предназначена для людей с базовым пониманием программирования на Python и алгебры, а также исчисления. Он идеально подходит для специалистов по данным, практиков машинного обучения, исследователей и всех, кто хочет глубже понять математические основы моделей глубокого обучения.
Math and Architectures of Deep arning Final Release Krishnendu Chaudhury 2024 553 Manning Publications Genre: Technology, Inteligencia Artificial En «Math and Architectures of Deep arning Final Release», profundizamos en las sutilezas de los modelos de aprendizaje profundo y los conceptos matemáticos y arquitectónicos que se encuentran en ellos. Esta guía integral proporciona una explicación detallada de los fundamentos matemáticos del aprendizaje profundo, lo que permite a los lectores personalizar, mantener y explicar estos modelos complejos de manera más eficiente. libro ofrece una mezcla única de teoría matemática e implementación práctica usando fragmentos de código PyTorch, lo que lo convierte en un recurso invaluable para aquellos que buscan dominar el aprendizaje profundo. Público objetivo: Este libro está diseñado para personas con una comprensión básica de la programación en Python y álgebra, así como el cálculo. Es ideal para especialistas en datos, practicantes del aprendizaje automático, investigadores y cualquier persona que desee comprender más a fondo los fundamentos matemáticos de los modelos de aprendizaje profundo.
Math and Architectures of Deep arning Final Release Krishnendu Chaudhury 2024 553 Manning Publishing Genre: Technology, Artigial Intelligence, Machine arning Summary: In «Math and Architect itectures of Deep arning Final Release» stiamo approfondendo la sottilità dei modelli di apprendimento approfondito e i concetti matematici e architettonici che li compongono. Questa guida completa fornisce una spiegazione dettagliata delle basi matematiche dell'apprendimento approfondito, consentendo ai lettori di personalizzare, supportare e spiegare in modo più efficiente questi modelli complessi. Il libro offre un mix unico di teoria matematica e realizzazione pratica utilizzando frammenti di codice del PyTorch, che lo rende una risorsa inestimabile per coloro che cercano di imparare l'apprendimento profondo. Target: Questo libro è progettato per persone con comprensione di base della programmazione su Python e algebra e calcolo. È ideale per esperti di dati, professionisti dell'apprendimento automatico, ricercatori e chiunque voglia comprendere meglio le basi matematiche dei modelli di apprendimento profondo.
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Deep arningの数学とアーキテクチャ最終リリースKrishnendu Chaudhury 2024 553 Manning Publicationsジャンル:テクノロジー、人工知能、機械学習の概要:「Deep ave Arningの数学とアーキテクチャ最終リリース」では、複雑さを詳しく説明しますディープラーニングのモデルと基礎となる数学的および建築的概念についてです。この包括的なガイドでは、ディープラーニングの数学的基礎を詳しく説明し、読者はこれらの複雑なモデルをより効果的にカスタマイズ、維持、説明することができます。この本は、PyTorchコードスニペットを使用した数学理論と実用的な実装のユニークなブレンドを提供しており、深層学習を習得しようとする人々にとって非常に貴重なリソースとなっています。ターゲットオーディエンス:この本は、Pythonプログラミングと代数、ならびに微積分の基本的な理解を持つ人々のためのものです。データサイエンティスト、機械学習実践者、研究者、およびディープラーニングモデルの数学的基盤をより深く理解したい人に最適です。

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