Neural Network Keyword Bingo

Neural Network Keyword Bingo Card
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This bingo card has a free space and 48 words: Node/ Weighted Sum, Back Propagation, Forward Propagation, Input Layer, Step Function, Hidden Layer, Sigmoid Function, Gradient Descent, Weights, Activation Function/ Threshold, Error/Cost Function, Overfitting, Biases, Output Layer, Recurrent (RNN), Black Box, Initialization, Convolution (CNN), Deep Learning, Supervised/ Unsupervised, Feed Forward, Perceptron, Computer Vision, Classification, Node/Weighted Sum, Weights, Biases, Input Layer, Output Layer, Activation Function / Threshold, Hidden Layer, Back propagation, Error/Cost Function, Deep Learning, Computer Vision, Forward propagation, Classification, Initialization, Supervised/Unsupervised, Feed Forward, Perceptron, Step Function, Sigmoid Function, Convolution / CNN, Recurrent / RNN, Black Box (Interpretability), Gradient Descent and Overfitting.

⚠ This card has duplicate items: Input Layer (2), Step Function (2), Hidden Layer (2), Sigmoid Function (2), Gradient Descent (2), Weights (2), Error/Cost Function (2), Overfitting (2), Biases (2), Output Layer (2), Initialization (2), Deep Learning (2), Feed Forward (2), Perceptron (2), Computer Vision (2), Classification (2)

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Neural Network Keyword Bingo | Machine Learning | CNN | CNN | Blue Bingo

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With players vying for a you'll have to call about __ items before someone wins. There's a __% chance that a lucky player would win after calling __ items.

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