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Consider the neural network model MLPO from Figure 7 . 5 . That model has 2 0 M weights in five fully connected layers (
Consider the neural network model MLPO from Figure That model has weights in five fully connected layers neural network researchers count the input layer as if it were a layer in the stack, but it has no weights associated with it For simplicity, let's assume that those layers are each the same size, so each layer holds weights. Then assume that each layer has identical geometry, so each group of weights represents a matrix. Because the TPU typically uses bit numerical values, weights take up
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