Index
A
Abstract LeNet model design
Ackley’s function
Activation design hyperparameter
Adam optimizer
AGP pruner
Annealing algorithm flow
Anneal Tuner
annealing algorithm
configuration
generation
optimizing holder_function
holder’s black-box function
AutoDL approaches
Automated deep learning (AutoDL)
adapting model to new dataset
definition
injecting technique
neural architecture search
No Free Lunch theorem
sections
solving practical problems
source code
Automated machine learning (AutoML)
B
Base model
Benchmark algorithm
Black-box function
Block operation
Bottleneck block space
Box prediction algorithm
C
Choice sampling strategy
CIFAR-10
CIFAR-10 ResNet NAS
Classic Neural Architecture Search (TensorFlow)
base model
experiment
mutators
search space
search strategy
trial
Conv2D layers ...
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