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Visualizing VGG16 Convolutional Neural Network using Keras
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Visualizing filters
Visualizing heatmaps
Visualizing intermediate activations
Visualizing using deconvnets

Visual intrepretability for Convolutional Neural Network in Keras

Following visualization techniques are used:

  • Visualizing intermediate activations (convolution outputs)
  • Visualizing convolutional filter/kernels
  • Visualizing input pixel space from intermediate activation using deconvnets
  • Visualizing areas of interest in input image for each layer using GradCAM technique

Read more about this project in my blog here

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