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Automated Deep Learning Using Neural Network Intelligence
Develop and Design PyTorch and TensorFlow Models Using Python
Langbeschreibung
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 development.
Inhaltsverzeichnis
¿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.
Ivan Gridin is a machine learning expert from Moscow who has worked on distributive high-load systems and implemented different machine learning approaches in practice. One of the primary areas of his research is the design and analysis of predictive time series models. Ivan has fundamental math skills in probability theory, random process theory, time series analysis, machine learning, deep learning, and optimization. He has published books on genetic algorithms and time series analysis.
ISBN-13:
9781484281499
Veröffentl:
2022
Seiten:
384
Autor:
Ivan Gridin
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
66,99 €*
Lieferzeit: Sofort lieferbar
Alle Preise inkl. MwSt.