VGG-13

What do you like best about the product?

VGG-13 is a simple neural network that I always prefer when writing my boilerplate code for ML modelling in image classification tasks. The model is simple to understand and interpret

What do you dislike about the product?

Since the model is simple and small we can't get excellent results.
Thought the model is small, it has a large number of parameters and it lacks dropouts which ultimately requires a lot of GPU RAM

What problems is the product solving and how is that benefiting you?

VGG-13 is a massive deep neural network that captures all features and passes it on to the next layers without much dropout. VGG block can be used wherever we need to capture all feature points