Automated deep learning using neural network intelligence : develop and design PyTorch and TensorFlow models using Python

Automated deep learning using neural network intelligence develop and design PyTorch and TensorFlow models using Python

Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI) toolkit. This book includes practical examples illustrating automated deep learning approaches and provides techniques to facilitate your deep learning model devel...

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Detalles Bibliográficos
Otros Autores: Gridin, Ivan, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: New York, New York : Apress L. P. [2022]
Materias:
Deep learning (Machine learning)
Neural networks (Computer science)
Python (Computer program language)
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009668677106719
Tabla de Contenidos:
  • Chapter 1: Introduction to Neural Network Intelligence
  • Chapter 2:Hyperparameter Optimization
  • Chapter 3: Hyperparameter Optimization Under Shell
  • 4. Multi-Trial Neural Architecture Search
  • Chapter 5: One-Shot Neural Architecture Search
  • Chapter 6: Model Pruning
  • Chapter 7: NNI Recipes.

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