UC
Verified User in Computer Software
Enterprise (> 1000 emp.)
"Best suited for prototype"
What do you like best about VGG-13?
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 Review collected by and hosted on G2.com.
What do you dislike about VGG-13?
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 Review collected by and hosted on G2.com.
