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Parámetros
- 760 páginas
- 27 horas de lectura
Más información sobre el libro
Focusing on the mathematical foundation of neural networks, this book explores their dual role as universal approximators and information processors. It connects intuitive concepts with precise mathematical language, offering insights into best practices while highlighting the robustness and elegance of modern mathematics. This approach aims to deepen understanding of neural networks, making complex ideas more accessible to readers.
Compra de libros
Deep Learning Architectures, Ovidiu Calin
- Idioma
- Publicado en
- 2020
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- Subtítulo
- A Mathematical Approach
- Idioma
- Inglés
- Autores
- Ovidiu Calin
- Editorial
- Springer, Berlin
- Publicado en
- 2020
- Formato
- Tapa dura
- Páginas
- 760
- ISBN13
- 9783030367206
- Serie
- Etiquetas
- No ficción, Libros de texto, Tecnología & Ingeniería, Ordenadores & Internet, Libros de texto de matemáticas
- Calificación
- 4,5 de 5
- Descripción
- Focusing on the mathematical foundation of neural networks, this book explores their dual role as universal approximators and information processors. It connects intuitive concepts with precise mathematical language, offering insights into best practices while highlighting the robustness and elegance of modern mathematics. This approach aims to deepen understanding of neural networks, making complex ideas more accessible to readers.