AmoebaNet
E899015
convolutional neural network architecture
image classification model
neural architecture search result
AmoebaNet is a convolutional neural network architecture discovered through evolutionary neural architecture search, known for achieving state-of-the-art image classification performance.
All labels observed (1)
| Label | Occurrences |
|---|---|
| AmoebaNet canonical | 1 |
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
convolutional neural network architecture
ⓘ
image classification model ⓘ neural architecture search result ⓘ |
| applicationDomain |
image feature extraction
ⓘ
large-scale visual recognition ⓘ |
| architectureStyle |
cell-based CNN
ⓘ
multi-branch convolutional architecture ⓘ |
| basedOn | cell-based architecture search space ⓘ |
| benchmark |
CIFAR-10
NERFINISHED
ⓘ
CIFAR-100 NERFINISHED ⓘ ImageNet NERFINISHED ⓘ |
| comparedTo |
NASNet
NERFINISHED
ⓘ
PNASNet NERFINISHED ⓘ hand-designed CNN architectures ⓘ |
| developedBy |
Google
NERFINISHED
ⓘ
Google Brain NERFINISHED ⓘ |
| discoveredBy | Google Brain researchers NERFINISHED ⓘ |
| field |
computer vision
ⓘ
deep learning ⓘ machine learning ⓘ |
| framework | TensorFlow (original implementation) NERFINISHED ⓘ |
| hasProperty |
high top-1 accuracy on ImageNet
ⓘ
high top-5 accuracy on ImageNet ⓘ state-of-the-art performance on ImageNet at time of publication ⓘ |
| hasVariant |
AmoebaNet-A
NERFINISHED
ⓘ
AmoebaNet-B NERFINISHED ⓘ AmoebaNet-C NERFINISHED ⓘ |
| implementedWith |
ReLU nonlinearities
ⓘ
batch normalization ⓘ stochastic gradient descent ⓘ |
| influenced | later NAS-based CNN architectures ⓘ |
| introducedBy |
Alok Aggarwal
NERFINISHED
ⓘ
Esteban Real NERFINISHED ⓘ Quoc V. Le NERFINISHED ⓘ Yanping Huang NERFINISHED ⓘ |
| introducedIn | “Regularized Evolution for Image Classifier Architecture Search” NERFINISHED ⓘ |
| language | Python (typical implementation) ⓘ |
| optimizationObjective | validation accuracy ⓘ |
| publicationType | research paper ⓘ |
| searchAlgorithm |
aging evolution
ⓘ
evolutionary neural architecture search ⓘ |
| task | image classification ⓘ |
| usesTechnique |
convolutional neural networks
ⓘ
evolutionary algorithms ⓘ neural architecture search ⓘ regularized evolution ⓘ |
| yearOfIntroduction | 2018 ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.