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gptkbp:instance_of
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gptkb:neural_networks
|
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gptkbp:architecture
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gptkb:AI_technology
|
|
gptkbp:coat_of_arms
|
gptkb:7
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|
gptkbp:developed_by
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gptkb:Yann_Le_Cun
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gptkbp:evaluates
|
Cross-Validation
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gptkbp:first_layer_type
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Convolutional Layer
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|
https://www.w3.org/2000/01/rdf-schema#label
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Le Net
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gptkbp:influenced_by
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Backpropagation Algorithm
|
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gptkbp:initiated_by
|
Sigmoid
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gptkbp:input_output
|
32x32 pixels
|
|
gptkbp:is_a_framework_for
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gptkb:Tensor_Flow
gptkb:Caffe
gptkb:Py_Torch
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gptkbp:legacy
|
Foundation for Modern CNNs
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gptkbp:losses
|
Cross-Entropy Loss
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gptkbp:migration
|
Not Commonly Used
|
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gptkbp:notable_feature
|
Feature Maps
Pooling Layers
Local Connectivity
End-to-End Learning
Weight Sharing
|
|
gptkbp:notable_publication
|
gptkb:Gradient-Based_Learning_Applied_to_Document_Recognition
Le Net-5: Design and Training of Convolutional Neural Networks
|
|
gptkbp:output_classes
|
gptkb:10
|
|
gptkbp:performance
|
Accuracy
|
|
gptkbp:provides_information_on
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gptkb:Yes
gptkb:MNIST
|
|
gptkbp:real_world_application
|
gptkb:Optical_Character_Recognition
Facial Recognition
Bank Check Processing
Postal Code Recognition
|
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gptkbp:related_to
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gptkb:Pattern_Recognition
gptkb:neural_networks
gptkb:Deep_Learning
Image Classification
|
|
gptkbp:research_areas
|
gptkb:Computer_Vision
gptkb:Artificial_Intelligence
gptkb:machine_learning
|
|
gptkbp:second_layer_type
|
Subsampling Layer
|
|
gptkbp:successor
|
gptkb:Alex_Net
|
|
gptkbp:third_layer_type
|
Fully Connected Layer
|
|
gptkbp:training
|
Supervised Learning
|
|
gptkbp:tuning
|
Stochastic Gradient Descent
Hyperparameter Optimization
|
|
gptkbp:used_for
|
Handwritten Digit Recognition
|
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gptkbp:year_created
|
gptkb:1989
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gptkbp:bfsParent
|
gptkb:VGGNet
gptkb:Alex_Net
|
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gptkbp:bfsLayer
|
5
|