label supervised kernel size of convolutional filter 3D input image filter output channel deep network multiple layers supervised cnn dropout nullify some neuron environment reinforcement Cconvolution feature extraction stride number of pixels shifts feature map convolutional layer sigmoid activation function unlabeled unsupervised clustering flatten 1D activation function neuron activate cnn nework architecture pooling size reduce dense fully connected padding outer layer node neuron lstm sequence prediction supervised regression relu negative values label supervised kernel size of convolutional filter 3D input image filter output channel deep network multiple layers supervised cnn dropout nullify some neuron environment reinforcement Cconvolution feature extraction stride number of pixels shifts feature map convolutional layer sigmoid activation function unlabeled unsupervised clustering flatten 1D activation function neuron activate cnn nework architecture pooling size reduce dense fully connected padding outer layer node neuron lstm sequence prediction supervised regression relu negative values
CNN - 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.
B-supervised
B-label
N-size of convolutional filter
N-kernel
B-input image
B-3D
G-output channel
G-filter
N-multiple layers
N-deep network
G-cnn
G-supervised
I-nullify some neuron
I-dropout
N-reinforcement
N-environment
B-feature extraction
B-Cconvolution
B-number of pixels shifts
B-stride
O-convolutional layer
O-feature map
B-activation function
B-sigmoid
I-unlabeled
G-clustering
G-unsupervised
O-1D
O-flatten
G-neuron activate
G-activation function
I-nework architecture
I-cnn
I-size reduce
I-pooling
I-fully connected
I-dense
N-outer layer
N-padding
O-neuron
O-node
O-sequence prediction
O-lstm
O-regression
O-supervised
G-negative values
G-relu