bbbsq20 发表于 2019-3-18 22:24

感谢分享

1944hans 发表于 2019-3-18 23:05

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萌灬六花 发表于 2019-3-18 23:23

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侍灵士 发表于 2019-3-19 13:04

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weixuluomu 发表于 2019-3-19 17:44

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GTR543 发表于 2019-3-19 19:44

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aaa6128469 发表于 2019-3-19 21:08

!!!!!!!!!!!!!!!!!!!!!!!!

xiao_shen666 发表于 2019-3-19 21:28

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shenrui1997 发表于 2019-3-19 22:02

感谢楼主是个好人.....

winnerliuyao 发表于 2019-3-20 08:03

顶一顶看看

gaochunjie 发表于 2019-3-20 17:02

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tarantia 发表于 2019-3-20 22:13

感謝分享.

Malika 发表于 2019-3-20 22:37

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y124573833 发表于 2019-3-21 07:15

迅雷好垃圾,,,1.2mb/s我的200m光纤就这速度,,,

1349739831 发表于 2019-3-21 17:37

02333333333333333

Eify我的天 发表于 2019-3-21 18:05

One of the most common forms of an ANN is the multilayer perceptron, as shown in Fig. 1. The big circles represent the processing units, called neurons, and the interconnects between them are called synapses. The synapses each carry a weighted value that updates (learns) as the network is trained. The number of synapses and neurons depends entirely on the application. For photonic modelling, the input layer has N1 neurons: the number of user-specified variable device parameters. And the output layer has NL neurons: the number of user-specified device outputs, where L is the number of layers in the network. The number of hidden layers and the number of neurons in those layers remain an optimization problem on their own, though one layer is enough to generalize any nonlinear input–output relationship to a reasonable degree of accuracy

穷酸玩家 发表于 2019-3-21 18:09

好人楼主 谢谢分享

hawkhanye 发表于 2019-3-21 18:45

感谢分享

犧趘蜰 发表于 2019-3-21 20:20

大撒旦撒打算

武墓墓主林玖尊 发表于 2019-3-22 08:59

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qsmy0424 发表于 2019-3-22 12:34

谢谢分享!!!

妖狐先生 发表于 2019-3-22 14:40

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冷漠┙不过如 发表于 2019-3-22 14:50

SA风格和文化

迷惑你眼 发表于 2019-3-22 15:14

比3好玩吗。

@inory 发表于 2019-3-22 18:04

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剑问1376 发表于 2019-3-22 18:47

《正当防卫4》单独未加密补丁

15045682923 发表于 2019-3-23 07:27

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yaoxuebin 发表于 2019-3-23 08:06

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didi999 发表于 2019-3-25 20:22

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单身游侠 发表于 2019-3-26 15:16

看看情况

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