title: How to get output with maximum probability from the all the predicted outputs from dense layer?
body: <p>I trained a neural network for sign language recognition. Here's my output layer <code> model.add(Dense(units=26,activation="softmax"))</code>
  Now I'm getting probability for all 26 alphabets. Somehow I'm getting 99% accuracy when I test this model <code>accuracy = model.evaluate(x=test_X,y=test_Y,batch_size=32)</code>. I'm new at this. I can't understand how this code works and I'm missing something major here. How to get a 1D list having just the predicted alphabet in it? </p>