Implement the forward pass of a binary perceptron, which maps an input feature vector to a predicted class using a weighted sum and a step activation. This checks your understanding of basic neural network computation in deep learning fundamentals.

Requirements

Implement the function

Rules:

• Compute the logit using the formula $z = \sum_{i=1}^{d} w_i x_i + b$.
• Return 1 if z >= 0, otherwise return 0.
• Use only NumPy and/or Python built-in libraries (no ML frameworks).
• Do not use any prebuilt perceptron or classifier utilities.

Example

Output: