1+2+3+4+5……+108+109108km h等于多少m s
点击联系发帖人
时间：2016-10-07 11:45
108期：杀码3—对 杀尾：01—对 开：480
107期：杀码4—对 杀尾：25—对 开：238
106期：杀码3—xx 杀尾：36—对 开：043
105期：杀码1—对 杀尾：59—对 开：699
104期：杀码8—对 杀尾：45—对 开：900
103期：杀码1—xx 杀尾：07—对 开：126
102期：杀码1—对 杀尾：07—对 开：282
101期：杀码3—对 杀尾：14—对 开：061
100期：杀码1—xx 杀尾：27—对 开：551
099期：杀码9—对 杀尾：39—对 开：217
098期：杀码0—对 杀尾：78—对 开：414
097期：杀码5—xx 杀尾：38—对 开：348
096期：杀码2—对 杀尾：58—xx 开：348
095期：杀码0—对 杀尾：79—对 开：704
094期：杀码5—对 杀尾：46—xx 开：824
093期：杀码4—对 杀尾：08—xx 开：622
092期：杀码9—对 杀尾：25—对 开：875
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1.王萧乔+数字推理
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1.王萧乔+数字推理
官方公共微信1+2+3+4+5+6+7+8+9........+108+109+110+111..:....×÷0+
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EndClassName = NeuralLayer
ClassName = InterfaceDescription
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NumUnits = 15
EndClassName = InterfaceDescription
ClassName = NeuralLayer
Name = bys
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Overhang = 0
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H E P G Y N L T D S C
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EndClassName = InterfaceDescription
EndClassName = NeuralNet2+3+4+……+110+109+……+4+3+2+1=（ ）_百度知道}
107期：杀码4—对 杀尾：25—对 开：238
106期：杀码3—xx 杀尾：36—对 开：043
105期：杀码1—对 杀尾：59—对 开：699
104期：杀码8—对 杀尾：45—对 开：900
103期：杀码1—xx 杀尾：07—对 开：126
102期：杀码1—对 杀尾：07—对 开：282
101期：杀码3—对 杀尾：14—对 开：061
100期：杀码1—xx 杀尾：27—对 开：551
099期：杀码9—对 杀尾：39—对 开：217
098期：杀码0—对 杀尾：78—对 开：414
097期：杀码5—xx 杀尾：38—对 开：348
096期：杀码2—对 杀尾：58—xx 开：348
095期：杀码0—对 杀尾：79—对 开：704
094期：杀码5—对 杀尾：46—xx 开：824
093期：杀码4—对 杀尾：08—xx 开：622
092期：杀码9—对 杀尾：25—对 开：875
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1.王萧乔+数字推理
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1.王萧乔+数字推理
官方公共微信1+2+3+4+5+6+7+8+9........+108+109+110+111..:....×÷0+
你是怎么算出来的?
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扫描下载二维码ClassName = NeuralNet
Name = dunbrack-in-scop-1+2-IDGaaH07-5-15-7-15-9-15-13-bys-from-empty.net
NumLayers = 4
ClassName = InterfaceDescription
Name = AA+ins+del+guide
NumUnits = 42
Alphabet = ExtAA
UnitNames =
A C D E F G H I K L M N P Q R S T V W Y insert delete gA gC gD gE gF gG gH gI gK gL gM gN gP gQ gR gS gT gV gW gY
UseInsert = 1
UseDelete = 1
UseAminoAcidProbs = 1
UseGuide = 1
UseComponentProbs = 0
ReRegularizer = /projects/compbio/lib/recode3.20comp
WeightingRegularizer =/projects/compbio/lib/recode3.20comp
SequenceWeight =HenikoffWeight
SequenceWeightBitsToSave =0.7
SequenceWeightParam =1
ClipExponent =1
EndClassName = InterfaceDescription
ClassName = NeuralLayer
Name = FirstLayer
NumInputs = 42
WindowSize = 5
NumOutputs = 15
Overhang = 2
UseMultUpdate = 0
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insert delete gA
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insert delete gA
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insert delete gA
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insert delete gA
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insert delete gA
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insert delete gA
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insert delete gA
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insert delete gA
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insert delete gA
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insert delete gA
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insert delete gA
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0.6 -0.9 -0.4 -0.3 -0.7 -0.5 -0.5
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insert delete gA
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insert delete gA
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0.1 -0.3 -0.2
0.9 -0.3 -0.5 -0.2 -0.9
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insert delete gA
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1.8 -0.8 -0.4 -0.3
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insert delete gA
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0.1 -0.6 -0.2 -0.1 -0.2
0.0 -0.2 -0.8 -0.4
EndClassName = NeuralLayer
ClassName = InterfaceDescription
Name = recoded_input
NumUnits = 15
EndClassName = InterfaceDescription
ClassName = NeuralLayer
Name = second_layer
NumInputs = 15
WindowSize = 7
NumOutputs = 15
Overhang = 5
UseMultUpdate = 0
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