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Deep learning with Python : learn best practices of deep learning models with PyTorch /

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how w...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Ketkar, Nikhil (Autor), Moolayil, Jojo (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Berkeley, CA] : Apress, [2021]
Edición:Second edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1
  • Introduction Deep Learning
  • Chapter 2
  • Introduction to PyTorch
  • Chapter 3- Feed Forward Networks
  • Chapter 4
  • Automatic Differentiation in Deep Learning
  • Chapter 5
  • Training Deep Neural Networks
  • Chapter 6
  • Convolutional Neural Networks
  • Chapter 7
  • Recurrent Neural Networks
  • Chapter 8
  • Recent advances in Deep Learning.