classes: optional number of classes to classify images.The output of the model will be a 2D tensor. None means that the output of the model will be pooling: Optional pooling mode for feature extraction.Or (3, 224, 224) (with channels_first data format).Īnd width and height should be no smaller than 32.Į.g. If include_top is False (otherwise the input shape input_shape: optional shape tuple, only to be specified.Or the path to the weights file to be loaded. weights: one of None (random initialization),.include_top: whether to include the 3 fully-connected.Then will zero-center each color channel with respect to the ImageNet dataset, Vgg16.preprocess_input will convert the input images from RGB to BGR, Note: each Keras Application expects a specific kind of input preprocessing.įor VGG16, call tf._input on your The default input size for this model is 224x224. Guide to transfer learning & fine-tuning. Very Deep Convolutional Networks for Large-Scale Image Recognition (ICLR 2015)įor transfer learning use cases, make sure to read the.VGG16 ( include_top = True, weights = "imagenet", input_tensor = None, input_shape = None, pooling = None, classes = 1000, classifier_activation = "softmax", )
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