Deep Learning. Need Explanation, not just answer

Below is a keras code that creates a fully connected neural network architecture. How many parameters are there in the model (ignore the biases)? model = Sequential () model.add (Dense (10, input_shape= (5)), model.add (Activation('relu')) model.add (Dense (1)) model.add (Activation ('sigmoid')) 60 50 15 10