stridenumberof pixelsshiftsdropoutnullifysomeneurondeepnetworkmultiplelayerssigmoidactivationfunctionrelunegativevaluespoolingsizereducenodeneuronlstmsequencepredictionunsupervisedclusteringCconvolutionfeatureextraction3Dinputimagesupervisedregressionfilteroutputchannelpaddingouterlayerenvironmentreinforcementcnnneworkarchitecturelabelsupervisedkernelsize ofconvolutionalfilterfeaturemapconvolutionallayersupervisedcnnunlabeleddensefullyconnectedflatten1Dactivationfunctionneuronactivatestridenumberof pixelsshiftsdropoutnullifysomeneurondeepnetworkmultiplelayerssigmoidactivationfunctionrelunegativevaluespoolingsizereducenodeneuronlstmsequencepredictionunsupervisedclusteringCconvolutionfeatureextraction3Dinputimagesupervisedregressionfilteroutputchannelpaddingouterlayerenvironmentreinforcementcnnneworkarchitecturelabelsupervisedkernelsize ofconvolutionalfilterfeaturemapconvolutionallayersupervisedcnnunlabeleddensefullyconnectedflatten1Dactivationfunctionneuronactivate

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.


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