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