OverfittingComputerVisionInputLayerBlackBoxBiasesFeedForwardHiddenLayerForwardpropagationHiddenLayerBackPropagationGradientDescentClassificationStepFunctionSupervised/UnsupervisedActivationFunction /ThresholdComputerVisionConvolution/ CNNOutputLayerInputLayerFeedForwardBackpropagationInitializationWeightsDeepLearningDeepLearningConvolution(CNN)ForwardPropagationOverfittingStepFunctionNode/WeightedSumError/CostFunctionPerceptronSigmoidFunctionActivationFunction/ThresholdError/CostFunctionNode/WeightedSumWeightsRecurrent(RNN)Recurrent/ RNNGradientDescentOutputLayerBlack Box(Interpretability)SigmoidFunctionSupervised/UnsupervisedInitializationBiasesClassificationPerceptronOverfittingComputerVisionInputLayerBlackBoxBiasesFeedForwardHiddenLayerForwardpropagationHiddenLayerBackPropagationGradientDescentClassificationStepFunctionSupervised/UnsupervisedActivationFunction /ThresholdComputerVisionConvolution/ CNNOutputLayerInputLayerFeedForwardBackpropagationInitializationWeightsDeepLearningDeepLearningConvolution(CNN)ForwardPropagationOverfittingStepFunctionNode/WeightedSumError/CostFunctionPerceptronSigmoidFunctionActivationFunction/ThresholdError/CostFunctionNode/WeightedSumWeightsRecurrent(RNN)Recurrent/ RNNGradientDescentOutputLayerBlack Box(Interpretability)SigmoidFunctionSupervised/UnsupervisedInitializationBiasesClassificationPerceptron

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