I am interested in a tutorial on how to setup layers for image recognition.
Background to this:
I have to pass +63 percent accuracy on recognize if a given image (150px | 150px) shows a cat or a dog. Running thru the provided tutorial-plan gave me information on how to setup the model, train it and how to use predict/evaluate but I have really no idea how to setup the layers to get a good result.
Can someone tell me where I can find tutorials/information about what I have to do (Strategies on building a stack of layer)?