Questions tagged [vgg-net]

This specific convolutional neural network architecture includes either 16 or 19 layers, frequently implemented with weights that have been pre-trained on the ImageNet dataset. Originally designed for image classification tasks, the convolutional component of this model can also be applied to a range of other applications. Feel free to utilize this tag for inquiries specifically related to this CNN framework.