featuremapconvolutionallayer3Dinputimagesigmoidactivationfunctionpoolingsizereduceenvironmentreinforcementstridenumberof pixelsshiftsactivationfunctionneuronactivaterelunegativevaluesnodeneuronlstmsequencepredictionunsupervisedclusteringflatten1Dkernelsize ofconvolutionalfiltercnnneworkarchitecturedeepnetworkmultiplelayerspaddingouterlayerfilteroutputchannelsupervisedcnndensefullyconnectedunlabeledlabelsuperviseddropoutnullifysomeneuronCconvolutionfeatureextractionbrainbiologicalneuralnetworkfeaturemapconvolutionallayer3Dinputimagesigmoidactivationfunctionpoolingsizereduceenvironmentreinforcementstridenumberof pixelsshiftsactivationfunctionneuronactivaterelunegativevaluesnodeneuronlstmsequencepredictionunsupervisedclusteringflatten1Dkernelsize ofconvolutionalfiltercnnneworkarchitecturedeepnetworkmultiplelayerspaddingouterlayerfilteroutputchannelsupervisedcnndensefullyconnectedunlabeledlabelsuperviseddropoutnullifysomeneuronCconvolutionfeatureextractionbrainbiologicalneuralnetwork

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