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Enhancing Deep Learning with Bayesian Inference Create More Powerful, Robust Deep Learning Systems with Bayesian Deep Learning in Python /

Develop Bayesian Deep Learning models to help make your own applications more robust. Key Features Gain insights into the limitations of typical neural networks Acquire the skill to cultivate neural networks capable of estimating uncertainty Discover how to leverage uncertainty to develop more robus...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Benatan, Matt
Otros Autores: Gietema, Jochem, Schneider, Marian
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited, 2023.
Edición:1st edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Table of Contents Bayesian Inference in the Age of Deep Learning Fundamentals of Bayesian Inference Fundamentals of Deep Learning Introducing Bayesian Deep Learning Principled Approaches for Bayesian Deep Learning Using the Standard Toolbox for Bayesian Deep Learning Practical considerations for Bayesian Deep Learning Applying Bayesian Deep Learning Next Steps in Bayesian Deep Learning.