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Known as VGG, this architecture became a pivotal point in the evolution of deep learning, particularly in the realm of computer vision. Deep learning models are composed of layers of artificial neurons or nodes, and the 'depth' of a model is a refere...

What is VGG16 and explain the architecture of VGG16? VGG-16 is a simpler architecture model since it’s not using many hyperparameters. It always uses 3 x 3 filters with the stride of 1 in the convolution layer and uses SAME padding in pooling layers...

Problem Faced After models are trained and ready to deploy in a production environment, a lack of consistency with model deployment and serving workflows can present challenges in scaling your model deployments to meet the increasing number of ML use...
