Mastering Computer Vision with TensorFlow 2.x

Training an existing advanced image classifier model and visualizing its layers

We found that the model that we developed has about 16 layers and that its validation accuracy is about 80%. From this, we observed how the neural network sees the images at different layers. This brings up two questions:

• How does our custom neural network compare with the more advanced neural network?
• How does the advanced neural network see an image compared to our custom neural network? Do all neural networks see an image in a similar way or differently?

To answer these questions, we will train our classifier against two advanced networks, VGG16 and InceptionV3, and visualize a chair image at different layers of the network. Chapter 5, Neural Network Architecture ...