Recurrent/ RNNRecurrent(RNN)Supervised/UnsupervisedSigmoidFunctionComputerVisionBlack Box(Interpretability)BiasesOverfittingDeepLearningGradientDescentForwardpropagationSigmoidFunctionSupervised/UnsupervisedBlackBoxBiasesError/CostFunctionOverfittingHiddenLayerNode/WeightedSumWeightsPerceptronError/CostFunctionActivationFunction/ThresholdInputLayerNode/WeightedSumFeedForwardForwardPropagationDeepLearningHiddenLayerOutputLayerConvolution(CNN)FeedForwardBackpropagationOutputLayerWeightsInputLayerGradientDescentStepFunctionComputerVisionStepFunctionConvolution/ CNNClassificationActivationFunction /ThresholdClassificationBackPropagationInitializationPerceptronInitializationRecurrent/ RNNRecurrent(RNN)Supervised/UnsupervisedSigmoidFunctionComputerVisionBlack Box(Interpretability)BiasesOverfittingDeepLearningGradientDescentForwardpropagationSigmoidFunctionSupervised/UnsupervisedBlackBoxBiasesError/CostFunctionOverfittingHiddenLayerNode/WeightedSumWeightsPerceptronError/CostFunctionActivationFunction/ThresholdInputLayerNode/WeightedSumFeedForwardForwardPropagationDeepLearningHiddenLayerOutputLayerConvolution(CNN)FeedForwardBackpropagationOutputLayerWeightsInputLayerGradientDescentStepFunctionComputerVisionStepFunctionConvolution/ CNNClassificationActivationFunction /ThresholdClassificationBackPropagationInitializationPerceptronInitialization

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.


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