Biases Forward propagation Step Function Supervised/ Unsupervised Output Layer Convolution (CNN) Error/Cost Function Gradient Descent Initialization Recurrent (RNN) Black Box (Interpretability) Input Layer Activation Function/ Threshold Step Function Recurrent / RNN Hidden Layer Classification Error/Cost Function Biases Weights Perceptron Node/ Weighted Sum Perceptron Back Propagation Sigmoid Function Deep Learning Overfitting Initialization Feed Forward Classification Weights Activation Function / Threshold Output Layer Sigmoid Function Hidden Layer Supervised/Unsupervised Deep Learning Convolution / CNN Computer Vision Forward Propagation Gradient Descent Input Layer Feed Forward Node/Weighted Sum Computer Vision Black Box Back propagation Overfitting Biases Forward propagation Step Function Supervised/ Unsupervised Output Layer Convolution (CNN) Error/Cost Function Gradient Descent Initialization Recurrent (RNN) Black Box (Interpretability) Input Layer Activation Function/ Threshold Step Function Recurrent / RNN Hidden Layer Classification Error/Cost Function Biases Weights Perceptron Node/ Weighted Sum Perceptron Back Propagation Sigmoid Function Deep Learning Overfitting Initialization Feed Forward Classification Weights Activation Function / Threshold Output Layer Sigmoid Function Hidden Layer Supervised/Unsupervised Deep Learning Convolution / CNN Computer Vision Forward Propagation Gradient Descent Input Layer Feed Forward Node/Weighted Sum Computer Vision Black Box Back propagation Overfitting
(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.
Biases
Forward propagation
Step Function
Supervised/
Unsupervised
Output Layer
Convolution (CNN)
Error/Cost Function
Gradient Descent
Initialization
Recurrent
(RNN)
Black Box (Interpretability)
Input Layer
Activation Function/
Threshold
Step Function
Recurrent / RNN
Hidden Layer
Classification
Error/Cost Function
Biases
Weights
Perceptron
Node/
Weighted Sum
Perceptron
Back Propagation
Sigmoid Function
Deep Learning
Overfitting
Initialization
Feed Forward
Classification
Weights
Activation Function / Threshold
Output Layer
Sigmoid Function
Hidden Layer
Supervised/Unsupervised
Deep Learning
Convolution / CNN
Computer Vision
Forward Propagation
Gradient Descent
Input Layer
Feed Forward
Node/Weighted Sum
Computer Vision
Black Box
Back propagation
Overfitting