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visual-interpretation-of-cnn's Introduction

Team Members:

Hana Hussein

Ali Gamal

Visual-Interpretation-of-CNN

We used VGG-16 pre-trained model to classify 3 images and interpret the output using different interpretation techniques:

1- First Technique used is "Visualization Using Deconvnets"

We interpreted the model's output on a 'Tiger' image

Then we checked our insights about the filters by:

a) Visualization of Intermediate Activations

b) Visualization of Filters


2- Second Technique used is "Visualization Using Heatmaps"

We interpreted the model's output on a 'Barber Chair' image

Then we checked our insights about the filters by:

a) Visualization Using Deconvnets


2- Second Technique used is "Visualization Using Occlusion Maps"

We interpreted the model's output on a 'French Bulldog' image

Then we checked our insights about the filters by:

a) Visualization Using Heatmaps

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