Keras model.summary() result - Understanding the # of Parameters
I have a simple NN model for detecting hand-written digits from a 28x28px image written in python using Keras (Theano backend): model0 = Sequential() #number of epochs to train for nb_epoch = 12 #
stackoverflow.com
It means
Input parameters (784) + one weight of connection with bias (1) = 785 × Hidden Layer (10) → 7850
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