We learned about the architecture of various deep learning models in Chapter 5, Neural Network Architecture and Models. In this section, we will learn how to use TensorFlow/Keras to load images, explore and preprocess the data, and then apply three CNN models' (VGG16, ResNet, and Inception) pre-trained weights to predict object class.
Note that no training will be required in this section, as we are not building the model but will be using an already built model (that is, one with pre-trained weights) to predict image class.
The code for this section can be found at: https://github.com/PacktPublishing/Mastering-Computer-Vision-with-TensorFlow-2.0/blob/master/Chapter06/Chapter6_CNN_PretrainedModel.ipynb
Let's dive deep into the code and understand the purpose of each of its lines.
