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Pro Deep Learning with TensorFlow 2.0 A Mathematical Approach to Advanced Artificial Intelligence in Python, Second Edition - Santanu Pattanayak 2023 PDF Apress BOOKS PROGRAMMING
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Pro Deep Learning with TensorFlow 2.0 A Mathematical Approach to Advanced Artificial Intelligence in Python, Second Edition
Author: Santanu Pattanayak
Year: 2023
Pages: 667
Format: PDF
File size: 15.9 MB
Language: ENG



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Book Description: Pro Deep Learning with TensorFlow 20 - A Mathematical Approach to Advanced Artificial Intelligence in Python Second Edition Santanu Pattanayak 2023 667 Format: Paperback/eBook Santanu Pattanayak Genre: Computer Science, Artificial Intelligence, Machine Learning, TensorFlow Synopsis: In this second edition of "Pro Deep Learning with TensorFlow", readers will embark on a comprehensive journey to master the mathematical foundations and latest code implementations of deep learning techniques using TensorFlow 20. This book builds upon the first edition by incorporating updated chapters and new convolutional methods, including dilated convolution, depthwise separable convolution, and their implementation. The text begins with an in-depth exploration of the core technical and mathematical foundations of deep learning, laying the groundwork for understanding natural language processing, advanced network architectures, and unsupervised learning frameworks. As the reader progresses through the book, they will delve into practical applications of deep learning in computer vision, speech recognition, robotics, and other domains.
Pro Deep arning with TensorFlow 20 - математический подход к продвинутому искусственному интеллекту в Python Second Edition Santanu Pattanayak 2023 667 Формат: Paperback/eBook Santanu Pattanayak Жанр: информатика, искусственный интеллект, машинное обучение, синопсис TensorFlow: В этом втором издании «Pro Deep arning with TensorFlow» читатели отправятся в всестороннее путешествие, чтобы освоить математические основы и последние реализации кода методов глубокого обучения с использованием TensorFlow 20. Эта книга основана на первом издании путем включения обновленных глав и новых сверточных методов, включая расширенную свертку, глубинно разделяемую свертку и их реализацию. Текст начинается с глубокого изучения основных технических и математических основ глубокого обучения, закладывая основу для понимания обработки естественного языка, передовых сетевых архитектур и систем обучения без учителя. По мере прохождения книги читатель будет углубляться в практические применения глубокого обучения в компьютерном зрении, распознавании речи, робототехнике и других областях.
Pro Deep arning with TensorFlow 20 es un acercamiento matemático a la inteligencia artificial avanzada en Python Second Edition Santanu Pattanayak 2023 667 Formato: Paperback/eBook Santanu Pattanayak Género: informática, inteligencia artificial, aprendizaje automático, sinopsis de TensorFlow: En esta segunda edición de «Pro Deep arning with TensorFlow», los lectores emprenderán un viaje completo para dominar los fundamentos matemáticos y las últimas implementaciones del código de técnicas de aprendizaje profundo utilizando TensorFlow 20. Este libro se basa en la primera edición mediante la incorporación de capítulos actualizados y nuevas técnicas de taladrado, incluyendo la convolución avanzada, la convolución de separación profunda y su implementación. texto comienza con un profundo estudio de los fundamentos técnicos y matemáticos básicos del aprendizaje profundo, sentando las bases para entender el procesamiento del lenguaje natural, las arquitecturas avanzadas de la red y los sistemas de aprendizaje sin maestro. A medida que el libro pase, el lector profundizará en las aplicaciones prácticas del aprendizaje profundo en visión informática, reconocimiento de voz, robótica y otros campos.
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Pro Deep arning with TensorFlow 20-Python Second Editionの高度な人工知能に対する数学的アプローチSantanu Pattanayak 2023 667 Format： Paperback/eBook Santanu Pattanayakジャンル：コンピュータサイエンス、人工知能、機械学習、TensorFlowの概要： 「Pro Deep arning with TensorFlow」の第2版では、読者はTensorFlow 20を使用してディープラーニング手法の数学的基礎と最新のコード実装を習得するための包括的な旅に着手します。この本は、高度な畳み込み、深さ分離可能な畳み込み、およびその実装を含む、更新された章と新しい畳み込み方法を組み込むことによって、初版に基づいて構築されます。このテキストは、深層学習の基本的な技術的および数学的基礎の詳細な研究から始まり、自然言語処理、高度なネットワークアーキテクチャ、および教師なし学習システムを理解するための基礎を築きました。本が進むにつれて、読者はコンピュータビジョン、音声認識、ロボット工学などの分野におけるディープラーニングの実用的な応用を掘り下げます。

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