Machine Learning
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Backpropagation
Quick Definition
Algorithm computing gradients for neural network weight updates
Full Definition
The fundamental algorithm for training neural networks by computing gradients using the chain rule.
Examples
neural network training, deep learning, optimization
Related Terms
gradient-descent
neural-network
loss-function
More Machine Learning Terms
Regularization
Techniques constraining model complexity to prevent overfitting
Logistic Regression
Statistical model estimating binary outcome probabilities
Learning Rate
Hyperparameter controlling gradient descent step size
Bagging
Training models on random subsets and averaging predictions
DBSCAN
Density-based clustering finding clusters of varying shapes
Feature Selection
Identifying the most relevant features for model training