Just your regular densely-connected NN layer.
Dense層就是所謂的全連接神經網絡層
# as first layer in a sequential model:
model = Sequential()
model.add(Dense(32, input_shape=(16,)))
# now the model will take as input arrays of shape (*, 16)
# and output arrays of shape (*, 32)
# after the first layer, you don't need to specify
# the size of the input anymore:
model.add(Dense(32))
第一層需要指定輸入形狀纱新，以對接輸入數據的形狀，比如以(16,)對接(*,16)形狀的數據略贮。
