A kind of convolutional neural network consisting of 16 or 19 layers, often used with weights pre-trained on ImageNet dataset.
I can't give the correct number of parameters of AlexNet or VGG Net. For example, to calculate the number of …
machine-learning neural-network computer-vision vgg-netI am new to machine learning. I was following this tutorial on fine-tuning VGG16 models. The model loaded fine with …
python tensorflow keras transfer-learning vgg-netI combine two VGG net in keras together to make classification task. When I run the program, it shows an …
python keras vgg-netThere is an example of VGG16 fine-tuning on keras blog, but I can't reproduce it. More precisely, here is code …
python neural-network keras deep-learning vgg-netI use the pre-trained VGG-16 model from Keras. My working source code so far is like this: from keras.applications.…
python keras deep-learning classification vgg-netI am trying to fine-tune VGG16 neural network, here is the code: vgg16_model = VGG16(weights="imagenet", include_top="false", …
python-3.x tensorflow keras jupyter-notebook vgg-netI am training a multi-label classification model for detecting attributes of clothes. I am using transfer learning in Keras, retraining …
python machine-learning keras multilabel-classification vgg-netI'm using the Keras VGG16 model. I've seen it there is a preprocess_input method to use in conjunction with …
tensorflow keras deep-learning vgg-net image-preprocessingI use the VGG-16 Net by keras. This is the detail my problem is how to use this net to …
keras deep-learning theano face-recognition vgg-netI'm replicating the steps in http://caffe.berkeleyvision.org/gathered/examples/finetune_flickr_style.html I want to change the …
neural-network deep-learning computer-vision caffe vgg-net