Why is the accuracy for my Keras model always 0 when training?

Question

I\'m pretty new to keras I have built a simple network to try:

import numpy as np;

from keras.models import Sequential;
from keras.layers import Dense,Activ         


        

Answer 1

I would like to point out something that is very important and has been unfortunately neglected: mean_squared_error is not an invalid loss function for classification.

The mathematical properties of cross_entropy in conjunction with the assumptions of mean_squared_error(both of which I will not expand upon in this comment) make the latter inappropriate or worse than the cross_entropy when it comes to training on classification problems.