Related terms
Other terms related to Parameter.
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Checkpoint
चेकपोइन्ट
A saved snapshot of a model's state during training so it can be resumed or reused.
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Dropout
ड्रपआउट
A regularization method that randomly disables neurons during training to reduce overfitting.
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Gradient Clipping
ग्र्याडियन्ट क्लिपिङ
Capping gradient size during training to prevent unstable, exploding updates.
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Hyperparameter
हाइपरप्यारामिटर
A configuration value set before training that controls how a model learns, like learning rate.
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Validation Set
प्रमाणीकरण सेट
Data used during training to tune settings and avoid overfitting before final testing.
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Weight
वजन / वेट
A learned value that determines the strength of a connection between neurons.
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Weight Initialization
वजन प्रारम्भीकरण
Setting starting values for a network's weights before training begins.
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Adam Optimizer
एडम अप्टिमाइजर
A widely used optimizer that adapts the learning rate for each parameter.