The python module keras.applications.VGG16 provides a pre-trained VGG16 model in Keras. VGG16 is a convolutional neural network architecture that has been trained on the ImageNet dataset, a large dataset of images spanning 1000 different classes. The VGG16 model consists of 16 layers, including convolutional and pooling layers, designed to extract features from images. This pre-trained model can be used for a variety of computer vision tasks, such as image classification, object detection, and feature extraction, by loading the model and applying it to new images. Using the VGG16 model can save significant time and resources compared to training a model from scratch on a large dataset like ImageNet.
Python VGG16 - 30 examples found. These are the top rated real world Python examples of keras.applications.VGG16 extracted from open source projects. You can rate examples to help us improve the quality of examples.