Inicio > > Ciencias de la computación > Mathematical Foundations for Deep Learning
Mathematical Foundations for Deep Learning

Mathematical Foundations for Deep Learning

Mehdi Ghayoumi

258,17 €
IVA incluido
Consulta disponibilidad
Editorial:
Taylor & Francis Ltd
Año de edición:
2025
Materia
Ciencias de la computación
ISBN:
9781032690735

Selecciona una librería:

  • Librería Samer Atenea
  • Librería Aciertas (Toledo)
  • Kálamo Books
  • Librería Perelló (Valencia)
  • Librería Elías (Asturias)
  • Donde los libros
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)
¡Pregúntanos!
Sobre IBD

This book bridges the gap between theoretical mathematics and practical applications in AI. Whether you’re aiming to develop practical skills for AI projects, advance to emerging trends in deep learning, or lay a strong foundation for future studies, this book serves as an indispensable resource for achieving proficiency in the field.

Artículos relacionados

Otros libros del autor

  • Generative Adversarial Networks in Practice
    Mehdi Ghayoumi
    Generative Adversarial Networks (GANs) in Practice is an all-inclusive resource that provides a solid foundation on GAN methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts. ...
    Disponible

    92,32 €

  • Deep Learning in Practice
    Mehdi Ghayoumi
    Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step. ...
    Disponible

    76,10 €

  • Generative Adversarial Networks in Practice
    Mehdi Ghayoumi
    Generative Adversarial Networks (GANs) in Practice is an all-inclusive resource that provides a solid foundation on GAN methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts. ...
  • Deep Learning in Practice
    Mehdi Ghayoumi
    Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step. ...