poolingsizereducelabelsupervisednodeneuron3Dinputimageactivationfunctionneuronactivatelstmsequencepredictionkernelsize ofconvolutionalfilterflatten1Ddeepnetworkmultiplelayerssigmoidactivationfunctionstridenumberof pixelsshiftspaddingouterlayerfilteroutputchannelenvironmentreinforcementsupervisedcnnCconvolutionfeatureextractiondropoutnullifysomeneuronunlabeleddensefullyconnectedsupervisedregressionunsupervisedclusteringcnnneworkarchitecturerelunegativevaluesfeaturemapconvolutionallayerpoolingsizereducelabelsupervisednodeneuron3Dinputimageactivationfunctionneuronactivatelstmsequencepredictionkernelsize ofconvolutionalfilterflatten1Ddeepnetworkmultiplelayerssigmoidactivationfunctionstridenumberof pixelsshiftspaddingouterlayerfilteroutputchannelenvironmentreinforcementsupervisedcnnCconvolutionfeatureextractiondropoutnullifysomeneuronunlabeleddensefullyconnectedsupervisedregressionunsupervisedclusteringcnnneworkarchitecturerelunegativevaluesfeaturemapconvolutionallayer

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