Automated Deep Learning Using Neural Network Intelligence: Develop and Design PyTorch and TensorFlow Models Using Python
Author:   Ivan Gridin
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484281482


Pages:   384
Publication Date:   21 June 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Automated Deep Learning Using Neural Network Intelligence: Develop and Design PyTorch and TensorFlow Models Using Python


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Author:   Ivan Gridin
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.765kg
ISBN:  

9781484281482


ISBN 10:   1484281489
Pages:   384
Publication Date:   21 June 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

​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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Author Information

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.

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