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Automated Deep Learning Using Neural Network Intelligence: Develop and Design Pytorch and Tensorflow Models Using Python
商品資訊
ISBN13：9781484281482
出版社：Apress
作者：Ivan Gridin
出版日：2022/10/01
裝訂：平裝
規格：25.4cm*17.8cm*2.1cm (高/寬/厚)
商品簡介
商品簡介
Chapter 1: Introduction to Neural Network Intelligence1.1 Installation1.2 Trial, search space, experiment1.3 Finding maxima of multivariate function1.4 Interacting with NNI
Chapter 2: Hyper-Parameter Tuning2.1 Preparing a model for hyper-parameter tuning2.2 Running experiment2.3 Interpreting results2.4 Debugging
Chapter 3: Hyper-Parameter Tuners
Chapter 4: Neural Architecture Search: Multi-trial4.1 Constructing a search space4.2 Running architecture search4.3 Exploration strategies4.4 Comparing exploration strategies
Chapter 5: Neural Architecture Search: One-shot5.1 What is one-shot NAS?5.2 ENAS5.3 DARTS
Chapter 6: Model Compression6.1 What is model compression?6.2 Compressing your model6.3 Pruning6.4 Quantization
Chapter 7: Advanced NNI
Chapter 2: Hyper-Parameter Tuning2.1 Preparing a model for hyper-parameter tuning2.2 Running experiment2.3 Interpreting results2.4 Debugging
Chapter 3: Hyper-Parameter Tuners
Chapter 4: Neural Architecture Search: Multi-trial4.1 Constructing a search space4.2 Running architecture search4.3 Exploration strategies4.4 Comparing exploration strategies
Chapter 5: Neural Architecture Search: One-shot5.1 What is one-shot NAS?5.2 ENAS5.3 DARTS
Chapter 6: Model Compression6.1 What is model compression?6.2 Compressing your model6.3 Pruning6.4 Quantization
Chapter 7: Advanced NNI
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