Inception-Res Net

GPTKB entity

Statements (62)
Predicate Object
gptkbp:instance_of gptkb:microprocessor
gptkbp:based_on Inception architecture
Residual connections
gptkbp:can_be_used_with gptkb:Res_Net_architecture
Inception modules
gptkbp:developed_by gptkb:Job_Search_Engine
gptkbp:has high accuracy
high throughput
multiple versions
gptkbp:has_achievements state-of-the-art performance
https://www.w3.org/2000/01/rdf-schema#label Inception-Res Net
gptkbp:improves gradient flow
gptkbp:introduced gptkb:2016
gptkbp:is gptkb:television_channel
gptkb:software_framework
scalable
efficient
widely used in competitions
robust to overfitting
gptkbp:is_compared_to other architectures
gptkbp:is_designed_to handle vanishing gradients
gptkbp:is_evaluated_by gptkb:Image_Net_dataset
cross-validation
gptkbp:is_implemented_in gptkb:Graphics_Processing_Unit
gptkb:Keras
gptkb:Py_Torch
gptkbp:is_influenced_by gptkb:Res_Ne_Xt_architecture
Dense Net architecture
gptkbp:is_known_for high performance
modular design
flexibility in design
multi-path architecture
gptkbp:is_optimized_for GPU acceleration
gptkbp:is_part_of deep learning frameworks
AI research community
gptkbp:is_popular_in gptkb:physicist
gptkbp:is_used_for image classification
gptkbp:is_used_in gptkb:engine
real-time applications
augmented reality systems
object detection tasks
medical image analysis
facial recognition systems
image retrieval systems
computer vision tasks
image segmentation tasks
content-based image retrieval
style transfer applications
video analysis tasks
gptkbp:reduces computational cost
gptkbp:successor gptkb:Res_Net
gptkb:Inception_v3
gptkbp:suitable_for edge computing applications
large-scale image datasets
transfer learning tasks
gptkbp:supports transfer learning
gptkbp:training large datasets
backpropagation
gptkbp:tuning specific tasks
gptkbp:utilizes batch normalization
gptkbp:bfsParent gptkb:Inception_Network
gptkbp:bfsLayer 4