Glossary entry
Batch Normalization
ब्याच नर्मलाइजेसन
Definition (English)
A technique that stabilizes and speeds up training by normalizing layer inputs.
अर्थ (नेपालीमा)
तहको इनपुट सामान्यीकरण गरी तालिम स्थिर र छिटो बनाउने प्रविधि।
Related terms
Other terms related to Batch Normalization.
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Layer Normalization
लेयर नर्मलाइजेसन
Normalizing values across features within a layer to stabilize training.
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Batch
ब्याच
A small subset of training data processed together in one step of training.
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Batch Inference
ब्याच इन्फरेन्स
Running predictions on many inputs together rather than one at a time.
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Supervised Learning
पर्यवेक्षित सिकाइ
Training a model on labeled examples so it learns to map inputs to known outputs.
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Adversarial Attack
प्रतिकूल आक्रमण
Deliberately crafted inputs designed to fool an AI model into making mistakes.
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Attention Mechanism
एटेन्सन मेकानिज्म / ध्यान संयन्त्र
A technique that lets a model focus on the most relevant parts of the input.
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Bagging
ब्यागिङ
Training many models on random data subsets and averaging them to reduce variance.
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Bias (in AI)
पूर्वाग्रह (एआईमा)
Systematic unfairness in AI outputs, often reflecting biases present in training data.