Visualizing filters of a CNN using TensorFlow

Task: To visualize various filters from different layers of the Convolutional Neural Network using VGG-16.

Dataset: Random Images created

Architecture: VGG-16

Implementation Steps:

1. Downloading the Model (VGG-16 model)

2. Get Submodels (layers)

3. Image Visualization (Matplotlib)

4. Training Loop (training for 100 epochs)

5. Final Results (Visualize different filter patterns)

Results: Visualized the filters from different layers of the model.

GitHub Code: https://github.com/Rubo12345/Visualizing-Filters-of-a-CNN-using-TensorFlow