ForwardPropagationGradientDescentBlack Box(Interpretability)DeepLearningNode/WeightedSumSigmoidFunctionOverfittingInputLayerNode/WeightedSumBackpropagationFeedForwardError/CostFunctionPerceptronGradientDescentConvolution(CNN)ForwardpropagationRecurrent(RNN)FeedForwardSupervised/UnsupervisedActivationFunction /ThresholdComputerVisionStepFunctionHiddenLayerOutputLayerInputLayerPerceptronInitializationBiasesError/CostFunctionHiddenLayerBlackBoxStepFunctionInitializationConvolution/ CNNOverfittingComputerVisionSigmoidFunctionWeightsClassificationActivationFunction/ThresholdRecurrent/ RNNBiasesDeepLearningOutputLayerClassificationWeightsBackPropagationSupervised/UnsupervisedForwardPropagationGradientDescentBlack Box(Interpretability)DeepLearningNode/WeightedSumSigmoidFunctionOverfittingInputLayerNode/WeightedSumBackpropagationFeedForwardError/CostFunctionPerceptronGradientDescentConvolution(CNN)ForwardpropagationRecurrent(RNN)FeedForwardSupervised/UnsupervisedActivationFunction /ThresholdComputerVisionStepFunctionHiddenLayerOutputLayerInputLayerPerceptronInitializationBiasesError/CostFunctionHiddenLayerBlackBoxStepFunctionInitializationConvolution/ CNNOverfittingComputerVisionSigmoidFunctionWeightsClassificationActivationFunction/ThresholdRecurrent/ RNNBiasesDeepLearningOutputLayerClassificationWeightsBackPropagationSupervised/Unsupervised

Neural Network Keyword Bingo - 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
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
  1. Forward Propagation
  2. Gradient Descent
  3. Black Box (Interpretability)
  4. Deep Learning
  5. Node/ Weighted Sum
  6. Sigmoid Function
  7. Overfitting
  8. Input Layer
  9. Node/Weighted Sum
  10. Back propagation
  11. Feed Forward
  12. Error/Cost Function
  13. Perceptron
  14. Gradient Descent
  15. Convolution (CNN)
  16. Forward propagation
  17. Recurrent (RNN)
  18. Feed Forward
  19. Supervised/Unsupervised
  20. Activation Function / Threshold
  21. Computer Vision
  22. Step Function
  23. Hidden Layer
  24. Output Layer
  25. Input Layer
  26. Perceptron
  27. Initialization
  28. Biases
  29. Error/Cost Function
  30. Hidden Layer
  31. Black Box
  32. Step Function
  33. Initialization
  34. Convolution / CNN
  35. Overfitting
  36. Computer Vision
  37. Sigmoid Function
  38. Weights
  39. Classification
  40. Activation Function/ Threshold
  41. Recurrent / RNN
  42. Biases
  43. Deep Learning
  44. Output Layer
  45. Classification
  46. Weights
  47. Back Propagation
  48. Supervised/ Unsupervised