|
gptkbp:instance_of
|
gptkb:microprocessor
gptkb:television_channel
|
|
gptkbp:bfsLayer
|
3
|
|
gptkbp:bfsParent
|
gptkb:television_channel
|
|
gptkbp:application
|
Mobile devices
|
|
gptkbp:architectural_style
|
Lightweight model
|
|
gptkbp:based_on
|
Depthwise separable convolutions
|
|
gptkbp:community_support
|
Open source
|
|
gptkbp:developed_by
|
gptkb:Job_Search_Engine
|
|
gptkbp:features
|
Low latency
Efficient computation
Reduced model size
|
|
gptkbp:has_variants
|
gptkb:Mobile_Net_V1
gptkb:Mobile_Net_V2
gptkb:Mobile_Net_V3
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Mobile Net
|
|
gptkbp:input_output
|
varies
224x224
class probabilities
|
|
gptkbp:introduced
|
gptkb:2017
|
|
gptkbp:is_a_framework_for
|
gptkb:Graphics_Processing_Unit
|
|
gptkbp:is_designed_for
|
mobile and edge devices
|
|
gptkbp:is_evaluated_by
|
FLO Ps
Inference time
|
|
gptkbp:is_optimized_for
|
mobile and edge devices
|
|
gptkbp:is_used_for
|
Image classification
|
|
gptkbp:latest_version
|
gptkb:Mobile_Net_V1
gptkb:Mobile_Net_V2
gptkb:Mobile_Net_V3
|
|
gptkbp:license
|
Apache License 2.0
|
|
gptkbp:orbital_period
|
4.2 million
|
|
gptkbp:performance
|
Top-1 accuracy
Top-5 accuracy
|
|
gptkbp:provides
|
efficient computation
|
|
gptkbp:provides_information_on
|
gptkb:Image_Net
|
|
gptkbp:related_to
|
gptkb:Artificial_Intelligence
Deep learning
Computer vision
|
|
gptkbp:release_year
|
gptkb:2017
|
|
gptkbp:successor
|
gptkb:Mobile_Net_V2
gptkb:Mobile_Net_V3
|
|
gptkbp:supports
|
transfer learning
|
|
gptkbp:targets
|
Edge devices
|
|
gptkbp:training
|
Transfer learning
|
|
gptkbp:tuning
|
Quantization
Pruning
|
|
gptkbp:use_case
|
gptkb:musician
gptkb:Io_T_devices
gptkb:smartphone
gptkb:robot
gptkb:technology
gptkb:helicopter
Medical imaging
Tablets
Autonomous vehicles
Augmented reality
Video analysis
Object detection
Face recognition
Style transfer
Smart cameras
Semantic segmentation
Smart T Vs
Pose estimation
|
|
gptkbp:uses
|
depthwise separable convolutions
|