We look into what sort of visual patterns image classification models learn. We'll be using the ResNet50V2 model, trained on the ImageNet dataset. Our process is simple: we will create input images that maximize the activation of specific filters in a target layer. Such images represent a visualization of the pattern that the filter responds to.
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We look into what sort of visual patterns image classification models learn. We'll be using the ResNet50V2 model, trained on the ImageNet dataset. Our process is simple: we will create input images that maximize the activation of specific filters in a target layer. Such images represent a visualization of the pattern that the filter responds to.
lear-ner97/Visualizing-what-ConvNets-learn
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We look into what sort of visual patterns image classification models learn. We'll be using the ResNet50V2 model, trained on the ImageNet dataset. Our process is simple: we will create input images that maximize the activation of specific filters in a target layer. Such images represent a visualization of the pattern that the filter responds to.
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