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Sunday: Closed
An algorithm used to train neural networks by calculating gradients and adjusting weights to minimize error.
A mathematical function that determines the output of a neural network node based on its input.
A technique to improve the training of deep neural networks by normalizing layer inputs.
A regularization technique that randomly ignores neurons during training to prevent overfitting.
A function that measures how well the machine learning model performs by quantifying the difference between predicted and actual values.
One complete pass through the entire training dataset during the learning process.