gptkbp:instance_of
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gptkb:neural_networks
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gptkbp:achieves_top1_accuracy
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82.7% on Image Net
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gptkbp:achieves_top5_accuracy
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95.2% on Image Net
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gptkbp:adapted_into
|
different tasks
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gptkbp:based_on
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neural architecture search
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gptkbp:competes_with
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other architectures like Res Net
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gptkbp:consists_of
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convolutional layers
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gptkbp:developed_by
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gptkb:Google
advanced algorithms
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gptkbp:has_achieved
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state-of-the-art performance
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gptkbp:has_variants
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gptkb:NASNet-A
gptkb:NASNet-B
gptkb:NASNet-C
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https://www.w3.org/2000/01/rdf-schema#label
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NASNet
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gptkbp:inspired_by
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human-designed architectures
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gptkbp:introduced_in
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gptkb:2017
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gptkbp:is_cited_in
|
numerous academic papers
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gptkbp:is_compared_to
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gptkb:Inception
gptkb:Dense_Net
gptkb:VGGNet
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gptkbp:is_considered_as
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a breakthrough in neural architecture search
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gptkbp:is_documented_in
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research papers
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gptkbp:is_evaluated_by
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gptkb:Google_Brain_team
gptkb:CIFAR-10_dataset
gptkb:Image_Net_dataset
gptkb:CIFAR-100_dataset
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gptkbp:is_implemented_in
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gptkb:Tensor_Flow
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gptkbp:is_influenced_by
|
evolution of neural networks
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gptkbp:is_integrated_with
|
cloud computing platforms
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gptkbp:is_known_for
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high accuracy
flexibility in architecture design
efficient architecture search
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gptkbp:is_optimized_for
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gptkb:mobile_devices
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gptkbp:is_part_of
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gptkb:machine_learning
deep learning frameworks
AI research advancements
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gptkbp:is_popular_in
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gptkb:scientific_community
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gptkbp:is_recognized_by
|
AI practitioners
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gptkbp:is_supported_by
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community contributions
hardware accelerators
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gptkbp:is_tested_for
|
various benchmarks
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gptkbp:is_trained_in
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large-scale datasets
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gptkbp:is_used_in
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real-world applications
transfer learning
computer vision tasks
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gptkbp:is_utilized_in
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gptkb:medical_imaging
gptkb:vehicles
image recognition systems
facial recognition systems
object detection systems
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gptkbp:used_for
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image classification
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gptkbp:utilizes
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reinforcement learning
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gptkbp:bfsParent
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gptkb:tf.keras.applications
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gptkbp:bfsLayer
|
5
|