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