Practical Convolutional Neural Networks

VGG16 image classification code example

The Keras Applications module has pre-trained neural network models, along with its pre-trained weights trained on ImageNet. These models can be used directly for prediction, feature extraction, and fine-tuning:

#import VGG16 network model and other necessary libraries from keras.applications.vgg16 import VGG16from keras.preprocessing import imagefrom keras.applications.vgg16 import preprocess_inputimport numpy as np#Instantiate VGG16 and returns a vgg16 model instance vgg16_model = VGG16(weights='imagenet', include_top=False) #include_top: whether to include the 3 fully-connected layers at the top of the network.#This has to be True for classification and False for feature extraction. Returns a model ...