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gptkbp:instance_of
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gptkb:neural_networks
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gptkbp:architectural_style
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Wide Residual Blocks
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gptkbp:coat_of_arms
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Convolutional Layers
Fully Connected Layers
Activation Functions
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gptkbp:developed_by
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Zagoruyko and Komodakis
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gptkbp:has_achieved
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State-of-the-art performance
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gptkbp:has_feature
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gptkb:Batch_Normalization
gptkb:Dropout
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gptkbp:has_function
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Width Multiplier
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https://www.w3.org/2000/01/rdf-schema#label
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Wide Res Net
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gptkbp:improves
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gptkb:Res_Net
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gptkbp:is_compared_to
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gptkb:Dense_Net
Standard Res Net
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gptkbp:is_evaluated_by
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gptkb:Image_Net
gptkb:SVHN
gptkb:Celeb_A
gptkb:Fashion_MNIST
gptkb:MNIST
Kaggle Competitions
LFW (Labeled Faces in the Wild)
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gptkbp:is_implemented_in
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gptkb:Tensor_Flow
gptkb:Py_Torch
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gptkbp:is_influenced_by
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gptkb:Res_Net
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gptkbp:is_known_for
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Scalability
High Capacity
Robustness to Noise
Reduced Overfitting
Flexibility in Architecture
Higher accuracy than standard Res Net
Wide Layers
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gptkbp:is_optimized_for
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Speed and Accuracy
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gptkbp:is_part_of
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gptkb:Computer_Vision
gptkb:Artificial_Intelligence
gptkb:machine_learning
Deep Neural Networks
Neural Network Architectures
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gptkbp:is_related_to
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gptkb:Deep_Learning
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gptkbp:is_trained_in
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gptkb:CIFAR-10
gptkb:Tiny_Image_Net
gptkb:CIFAR-100
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gptkbp:is_used_in
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gptkb:Augmented_Reality
gptkb:Autonomous_Vehicles
gptkb:Generative_Adversarial_Networks
gptkb:virtual_reality
gptkb:stage_adaptation
gptkb:machine_learning
Image Classification
Object Detection
Facial Recognition
Real-time Applications
Video Analysis
Semantic Segmentation
Medical Image Analysis
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gptkbp:training
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gptkb:Adam_Optimizer
Stochastic Gradient Descent
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gptkbp:uses
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Residual Learning
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gptkbp:year_established
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gptkb:2016
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gptkbp:bfsParent
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gptkb:Deep_Residual_Learning_for_Image_Recognition
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gptkbp:bfsLayer
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5
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