|
gptkbp:instance_of
|
gptkb:microprocessor
|
|
gptkbp:bfsLayer
|
4
|
|
gptkbp:bfsParent
|
gptkb:Le_Net_architecture
|
|
gptkbp:adapted_into
|
various applications
|
|
gptkbp:allows
|
computational complexity
|
|
gptkbp:applies_to
|
image processing
|
|
gptkbp:collaborated_with
|
research institutions
technology companies
|
|
gptkbp:consists_of
|
multiple layers
|
|
gptkbp:developed_by
|
gptkb:Kunihiko_Fukushima
gptkb:language
collaborative efforts
|
|
gptkbp:features
|
adaptive learning
|
|
gptkbp:first_introduced
|
gptkb:1980
|
|
gptkbp:has_influence_on
|
gptkb:Research_Institute
|
|
gptkbp:has_programs
|
computer vision
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Neocognitron
|
|
gptkbp:inspired_by
|
biological visual systems
|
|
gptkbp:is_analyzed_in
|
case studies
efficiency
|
|
gptkbp:is_characterized_by
|
multi-stage processing
|
|
gptkbp:is_compared_to
|
traditional algorithms
other neural networks
|
|
gptkbp:is_documented_in
|
gptkb:literary_work
|
|
gptkbp:is_enhanced_by
|
transfer learning
new algorithms
|
|
gptkbp:is_evaluated_by
|
performance metrics
benchmark datasets
|
|
gptkbp:is_explored_in
|
gptkb:academic_research
workshops
future applications
thesis work
enhanced learning techniques
|
|
gptkbp:is_implemented_in
|
software frameworks
various platforms
|
|
gptkbp:is_integrated_with
|
commercial products
other AI technologies
|
|
gptkbp:is_maintained_by
|
user feedback
|
|
gptkbp:is_optimized_for
|
speed and accuracy
|
|
gptkbp:is_part_of
|
gptkb:software_framework
AI systems
neural network architectures
|
|
gptkbp:is_promoted_by
|
gptkb:Educational_Institution
AI communities
|
|
gptkbp:is_similar_to
|
convolutional neural networks
|
|
gptkbp:is_studied_in
|
theoretical insights
cognitive modeling
|
|
gptkbp:is_supported_by
|
open-source projects
research funding
hardware accelerators
|
|
gptkbp:is_tested_for
|
real-time data
real-world scenarios
robustness
clinical settings
|
|
gptkbp:is_used_by
|
industry professionals
|
|
gptkbp:is_used_for
|
pattern recognition
|
|
gptkbp:is_used_in
|
gptkb:engine
facial recognition
|
|
gptkbp:is_utilized_in
|
gptkb:robot
data analysis
signal processing
|
|
gptkbp:performance
|
standard datasets
|
|
gptkbp:presented_by
|
conferences
|
|
gptkbp:recognizes
|
handwritten characters
|
|
gptkbp:related_to
|
deep learning
|
|
gptkbp:training
|
large datasets
|
|
gptkbp:utilizes
|
gptkb:architect
|