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题解 | softmax激活函数实现

import numpy as np import math def softmax(scores: list[float]) -> list[float]: exp_scores = np.exp(scores) probabilities = exp_scores/np...

2025-09-28

0 19

题解 | Sigmoid 激活函数实现

import math def sigmoid(z: float) -> float: result = 1/(1+math.exp(-1*z)) return round(result, 4) if __name__ == "__main__": ...

2025-09-28

0 13

题解 | 单神经元

import math import numpy as np def sigmoid(x): return 1/(1+np.exp(-x)) def single_neuron_model(features, labels, weights, bias): single = np.d...

2025-09-28

0 16