The Convolutional Neural Network implementation I have is likely overly complicated because I based it off of a VGG model, but I am sure that the layers could be trimmed or reshuffled to be more efficient and more accurately predict the dataset. There is also most likely some hyper parameters that could be tuned like the epochs and batch size to make it faster and more efficient.
The Convolutional Neural Network implementation I have is likely overly complicated because I based it off of a VGG model, but I am sure that the layers could be trimmed or reshuffled to be more efficient and more accurately predict the dataset. There is also most likely some hyper parameters that could be tuned like the epochs and batch size to make it faster and more efficient.