Applied deep learning with TensorFlow 2 : learn to implement advanced deep learning techniques with Python /

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Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This book is designed so th...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Michelucci, Umberto (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Apress, [2022]
Edición:2nd ed.
Colección:ITpro collection
Temas:
Python (Computer program language)
Machine learning.
Neural networks (Computer science)
Neural Networks, Computer
Python (Langage de programmation)
Apprentissage automatique.
Réseaux neuronaux (Informatique)
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Optimization and Neural Networks
  • Hands-on with a single neuron
  • Feed-Forward Neural Networks
  • Regularization
  • Advanced optimizers
  • Hyper-parameter tuning
  • Convolutional neural networks
  • A Brief Introduction to Recurrent Neural Networks
  • Autoencoders
  • Metric analysis
  • Generative Adversarial Networks (GANs)
  • Appendix A: Introduction to Keras
  • Appendix B: customizing Keras
  • Index.

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