8. Transfer Learning and Pre-Trained Models

Activity 8.01: Using the VGG16 Network to Train a Deep Learning Network to Identify Images

Use the VGG16 network to predict the image given (test_image_1). Before you start, ensure that you have downloaded the image (test_image_1) to your working directory. Follow these steps to complete this activity:

1. Import the numpy library and the necessary Keras libraries:

   import numpy as np
   from keras.applications.vgg16 import VGG16, preprocess_input
   from keras.preprocessing import image 

2. Initiate the model (note that, at this point, you can also view the architecture of the network, as shown in the following code):

   classifier = VGG16()
   classifier.summary()

   classifier.summary() shows us the architecture of the network. The following points should be noted: it has a four-dimensional input shape (None, 224, 224, 3) and it has three convolutional layers.

   The last four layers of the output are as follows:

   Figure 8.16: The architecture of the...