Many enterprises mistakenly view AI-driven productivity gains as remedies for employee exhaustion. However, overburdened staff rarely embrace novel methodologies, instead deploying AI haphazardly—amplifying frustration and mental strain.
We define both activation functions (Sigmoid and ReLU) along with their derivatives, and use binary cross-entropy as the loss since this is a binary classification task. The TwoLayerNet class represents a simple 3-layer feedforward network (2 hidden layers + output), where the only configurable component is the activation function.
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