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Inside deep learning : math, algorithms, models /

Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. In Inside Deep Learning, you will learn how to: Implement deep learning with PyTorch Select the right deep learning components Train and evaluate a deep learning model Fi...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Raff, Edward (Auteur)
Format: Électronique eBook
Langue:Inglés
Publié: Shelter Island : Manning Publications, [2022]
Sujets:
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Table des matières:
  • The mechanics of learning
  • Fully connected networks
  • Convolutional neural networks
  • Recurrent neural networks
  • Modern training techniques
  • Common design building blocks
  • Autoencoding and self-supervision
  • Object detection
  • Generative adversarial networks
  • Attention mechanisms
  • Sequence-to-sequence
  • Network design alternatives to RNNs
  • Transfer learning
  • Advanced building blocks.