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The Digital Transformation Journey

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Mutation Lab

Numerical Stable Softmax Playground

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softmax.py (Python 3.10)
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DL-NET · Neural Architectures (6 ECTS)
Mapped Project Challenge
Lab 4: Numerical Stable Softmax Function
RNCP Level 7 Competency Standard
RNCP38587 - Bloc 02: Concevoir et développer des architectures de réseaux de neurones profonds complexes en résolvant les contraintes de stabilité numérique (ex: instabilité exponentielle dans les gradients) et d'optimisation de performance.
Verified Submission Code (Read-Only)
import numpy as np

def softmax(x):
    # Ensure numerical stability by subtracting the max
    exp_x = np.exp(x - np.max(x, axis=-1, keepdims=True))
    return exp_x / np.sum(exp_x, axis=-1, keepdims=True)
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