lstmsequencepredictionkernelsize ofconvolutionalfilterrelunegativevaluesdeepnetworkmultiplelayersdensefullyconnectedfeaturemapconvolutionallayersigmoidactivationfunctionsupervisedregressionfilteroutputchannel3Dinputimagestridenumberof pixelsshiftsunlabeledpoolingsizereducepaddingouterlayernodeneuronCconvolutionfeatureextractionenvironmentreinforcementsupervisedcnnlabelsupervisedcnnneworkarchitectureactivationfunctionneuronactivateunsupervisedclusteringflatten1Ddropoutnullifysomeneuronlstmsequencepredictionkernelsize ofconvolutionalfilterrelunegativevaluesdeepnetworkmultiplelayersdensefullyconnectedfeaturemapconvolutionallayersigmoidactivationfunctionsupervisedregressionfilteroutputchannel3Dinputimagestridenumberof pixelsshiftsunlabeledpoolingsizereducepaddingouterlayernodeneuronCconvolutionfeatureextractionenvironmentreinforcementsupervisedcnnlabelsupervisedcnnneworkarchitectureactivationfunctionneuronactivateunsupervisedclusteringflatten1Ddropoutnullifysomeneuron

CNN - Call List

(Print) Use this randomly generated list as your call list when playing the game. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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O O
2
N N
3
G G
4
N N
5
I I
6
O O
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B B
8
O O
9
G G
10
B B
11
B B
12
I
13
I I
14
N N
15
O O
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B B
17
N N
18
G G
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B B
20
I I
21
G G
22
G G
23
O O
24
I I
  1. O-sequence prediction
    O-lstm
  2. N-size of convolutional filter
    N-kernel
  3. G-negative values
    G-relu
  4. N-multiple layers
    N-deep network
  5. I-fully connected
    I-dense
  6. O-convolutional layer
    O-feature map
  7. B-activation function
    B-sigmoid
  8. O-regression
    O-supervised
  9. G-output channel
    G-filter
  10. B-input image
    B-3D
  11. B-number of pixels shifts
    B-stride
  12. I-unlabeled
  13. I-size reduce
    I-pooling
  14. N-outer layer
    N-padding
  15. O-neuron
    O-node
  16. B-feature extraction
    B-Cconvolution
  17. N-reinforcement
    N-environment
  18. G-cnn
    G-supervised
  19. B-supervised
    B-label
  20. I-nework architecture
    I-cnn
  21. G-neuron activate
    G-activation function
  22. G-clustering
    G-unsupervised
  23. O-1D
    O-flatten
  24. I-nullify some neuron
    I-dropout