Glossary

This glossary contains key machine learning and deep learning terms, with each entry on its own page for detailed explanations.

• Logit - direct result of the linear operations (weighted sums of inputs plus bias) in the final dense layer of a neural network
• Mini-Batch Gradient Descent - Processing data in batches to optimize neural network training
• Normalization - The process of centering data and equalizing variance across features
• ReLU - Simple and widely-used activation function
• Tensor - Mathematical concept representing multi-dimensional data structures