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since we cannot iterate through a float its better we take the floor division of
(len(train_x) / batch_size) ==> (len(train_x) // batch_size)
can't specify softmax_cross_entropy_with_logits without labels or logits
tf.nn.softmax_cross_entropy_with_logits( y, y_) ==> tf.nn.softmax_cross_entropy_with_logits(labels = y_, logits = y)