Explains the basic concepts of NN like activation functions, forward propagation, backward propagation, gradient descent, finding the optimized weights and bias etc.
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Explains the basic concepts of NN like activation functions, forward propagation, backward propagation, gradient descent, finding the optimized weights and bias etc.
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