Machine Learning
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Batch Normalization
Quick Definition
Normalizing layer inputs to stabilize and speed up training
Full Definition
A technique normalizing layer inputs during training to stabilize and accelerate neural network convergence.
Examples
faster training, reduced covariate shift, higher learning rates
Related Terms
deep-learning
neural-network
gradient-descent
More Machine Learning Terms
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Hyperparameter controlling gradient descent step size
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