Titlebook: Automated Deep Learning Using Neural Network Intelligence; Develop and Design P Ivan Gridin Book 2022 Ivan Gridin 2022 Deep Learning.Automa

MEDAL

书目名称Automated Deep Learning Using Neural Network Intelligence影响因子(影响力)




书目名称Automated Deep Learning Using Neural Network Intelligence影响因子(影响力)学科排名




书目名称Automated Deep Learning Using Neural Network Intelligence网络公开度




书目名称Automated Deep Learning Using Neural Network Intelligence网络公开度学科排名




书目名称Automated Deep Learning Using Neural Network Intelligence被引频次




书目名称Automated Deep Learning Using Neural Network Intelligence被引频次学科排名




书目名称Automated Deep Learning Using Neural Network Intelligence年度引用




书目名称Automated Deep Learning Using Neural Network Intelligence年度引用学科排名




书目名称Automated Deep Learning Using Neural Network Intelligence读者反馈




书目名称Automated Deep Learning Using Neural Network Intelligence读者反馈学科排名

神经

Hyperparameter Optimization,ML. A small change in one of the model‘s hyperparameters can significantly change its performance. Hyperparameter Optimization (HPO) is the first and most effective step in deep learning model tuning. Due to its ubiquity, Hyperparameter Optimization is sometimes regarded as synonymous with AutoML. T

厌恶

拖网

Multi-trial Neural Architecture Search,search for the optimal deep learning models, but . (.) dispels these limits. This chapter focuses on NAS, one of the most promising areas of automated deep learning. Automatic Neural Architecture Search is increasingly important in finding appropriate deep learning models. Recent researches have pro

Odyssey

Conclave

Model Pruning,ver, complex neural networks are computationally expensive. And not all devices have GPU processors to run deep learning models. Therefore, it would be helpful to perform model compression methods to reduce the model size and accelerate model performance without losing accuracy significantly. One of

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Intellectual

胡言乱语

Mortal