paddingouterlayernodeneurondensefullyconnectedenvironmentreinforcementsupervisedcnnsigmoidactivationfunctionstridenumberof pixelsshifts3Dinputimagekernelsize ofconvolutionalfilterunsupervisedclusteringactivationfunctionneuronactivatedeepnetworkmultiplelayerscnnneworkarchitecturerelunegativevaluesfeaturemapconvolutionallayerlabelsupervisedflatten1DfilteroutputchanneldropoutnullifysomeneuronunlabeledpoolingsizereduceCconvolutionfeatureextractionlstmsequencepredictionsupervisedregressionpaddingouterlayernodeneurondensefullyconnectedenvironmentreinforcementsupervisedcnnsigmoidactivationfunctionstridenumberof pixelsshifts3Dinputimagekernelsize ofconvolutionalfilterunsupervisedclusteringactivationfunctionneuronactivatedeepnetworkmultiplelayerscnnneworkarchitecturerelunegativevaluesfeaturemapconvolutionallayerlabelsupervisedflatten1DfilteroutputchanneldropoutnullifysomeneuronunlabeledpoolingsizereduceCconvolutionfeatureextractionlstmsequencepredictionsupervisedregression

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