I am fairly a newbie to Neural Networks.
I wanted to ask if it is possible to train a NN to identify only one type object? For instance, a table from a large set of images, where the NN should be able to identify if new images are tables.
If yes can you please guide me in the direction to get started?
I wanted to ask if it is possible to train a NN to identify only one type object?...
so my understanding as of now is that if i train an NN on one class and one class alone with a fairly large amount of data then i can get it trained in a small amount of time rather than training it on a huge amount of data and consuming a larger amount of data...
Objective is to train a large no of such smaller NNs to create an ensemble of NNs.