Transfer Learning, Feature Extraction, Transfer Learning Ml.
activation='sigmoid')) Model summary model.summary() Output: We can see, the convolutional base of VGG16 has 14,714,688 parameters, which is very large. The classifier we are adding on top has 2 million parameters. Freeze the convolution base Before we compile and train our model, we have to freeze