CNN in keras using theano as backend
Create a folder dataset and then create two sub-folders train and test. Then inside Train if you wish create sub-folders with images labels (e.g. fish - holds all fish images, lion - holds lion images etc) and in test you can populate with some images. Finally train the model pointing to Dataset - > Train.
I am very new to the keras. currently working with CNN in keras using theano as backend. I would like to train my network with own images( around 25000 images),which all are in same folder and test it. How could I do that? (please help me, i am not familiar with deep learning)