I'm looking for a neural network architecture, which gives pretty good performance on an image classification challenge and is still simple to implement in a framework and also reasonably fast to train. Do you have suggestions?
I'm new the neural network implementation, and in the end, I'd like to do some "research-style" playing with it.
Moreover, a pointer to an image classification data set which is not too tough for a simple network would be great. However, not something like MNIST which is so easy that almost any classifier does a good job.
PS: Which neural network framework do you recommend if I'd like to modify the way the network is trained?