否，Dense层不能那样工作，输入具有50维，输出将具有等于神经元数量的尺寸，一个在这种情况下.输出是输入加上偏差的加权线性组合.

No, Dense layers do not work like that, the input has 50-dimensions, and the output will have dimensions equal to the number of neurons, one in this case. The output is a weighted linear combination of the input plus a bias.

请注意，使用softmax激活时，将其与一个神经元层一起使用是没有意义的，因为softmax已标准化，所以唯一可能的输出将是常数1.0.现在可能就是您想要的.

Note that with the softmax activation, it makes no sense to use it with a one neuron layer, as the softmax is normalized, the only possible output will be constant 1.0. That's probably now what you want.