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The basic building blocks of ML are simle MAC operations, weights and offsets are applied to inputs to produce outputs. These building blocks are combined to fo
by nuancebydefault 4y ago
The basic building blocks of ML are simle MAC operations, weights and offsets are applied to inputs to produce outputs. These building blocks are combined to form a neural network. To understand that, or to train or apply a model, you do not need calculus.