|
gptkbp:instance_of
|
gptkb:television_channel
|
|
gptkbp:bfsLayer
|
4
|
|
gptkbp:bfsParent
|
gptkb:tf.keras.applications
|
|
gptkbp:applies_to
|
Image Classification
|
|
gptkbp:architectural_style
|
gptkb:Deep_Learning
|
|
gptkbp:coat_of_arms
|
50
|
|
gptkbp:developed_by
|
gptkb:Microsoft_Research
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Res Net50
|
|
gptkbp:input_output
|
224x224
1000 Classes
|
|
gptkbp:introduced
|
gptkb:2015
|
|
gptkbp:is_cited_in
|
Research Papers
|
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
gptkb:Keras
gptkb:Py_Torch
|
|
gptkbp:is_known_for
|
High Accuracy
Skip Connections
Efficient Training
|
|
gptkbp:is_optimized_for
|
GPU Training
|
|
gptkbp:is_part_of
|
gptkb:Deep_Residual_Learning
gptkb:Res_Net_Family
|
|
gptkbp:is_popular_in
|
gptkb:viewpoint
|
|
gptkbp:is_used_in
|
gptkb:streaming_service
gptkb:Autonomous_Vehicles
gptkb:software
gptkb:Cloud_Computing_Service
gptkb:robot
gptkb:museum
gptkb:shopping_mall
Anomaly Detection
Object Detection
Data Augmentation
Facial Recognition
Image Segmentation
Medical Imaging
Mobile Applications
Real-time Processing
Feature Extraction
Image Retrieval
Social Media Analysis
Generative Models
Video Analysis
Scene Recognition
Action Recognition
|
|
gptkbp:performance
|
gptkb:Image_Net_Competitions
Deep Learning Models
76.0% on Image Net
|
|
gptkbp:predecessor
|
gptkb:Res_Net34
|
|
gptkbp:rank
|
93.3% on Image Net
|
|
gptkbp:successor
|
gptkb:Res_Net101
|
|
gptkbp:training
|
gptkb:Image_Net_Dataset
|
|
gptkbp:uses
|
gptkb:Batch_Normalization
Global Average Pooling
Residual Learning
Re LU Activation Function
|