How many training examples should i take for a convoluted neural network , which takes an input image of 180x180 pixels? : Hi i am building a CNN for face recognition(specifically only my face).I would be resizing my images to around 180x180 pixels. how many images should i have in my dataset so as to get good results. For normal neural nets i know the number of features should be less than data set so as to prevent overfitting, but is it true for CNN also ?

Thanks in advance


EDIT: what i would be doing is just classifying my image as 'mypic' and other peoples image as 'others'
