PyTorch Recipes : A Problem-Solution Approach to Build, Train and Deploy Neural Network Models

PyTorch Recipes A Problem-Solution Approach to Build, Train and Deploy Neural Network Models

Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated code. You'll st...

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Detalles Bibliográficos
Otros Autores: Mishra, Pradeepta, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2023.
Edición:2nd ed. 2023.
Materias:
Neural networks (Computer science)
Machine learning.
Python (Computer program language)
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009711813306719
Tabla de Contenidos:
  • Chapter 1: Introduction to PyTorch, Tensors, and Tensor Operations
  • Chapter 2: Probability Distributions Using PyTorch
  • Chapter 3: CNN and RNN Using PyTorch
  • Chapter 4: Introduction to Neural Networks Using PyTorch
  • Chapter 5: Supervised Learning Using PyTorch
  • Chapter 6: Fine-Tuning Deep Learning Models Using PyTorch
  • Chapter 7: Natural Language Processing Using PyTorch
  • Chapter 8: Distributed PyTorch Modelling, Model Optimization and Deployment
  • Chapter 9: Data Augmentation, Feature Engineering and Extractions for Image and Audio
  • Chapter 10: PyTorch Model Interpretability and Interface to Sklearn.

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