Validation Data
Validation Data is a subset of data used to assess the performance of a model during training, ensuring it generalizes well to unseen data.
181 plain-language definitions from the TiorAI glossary, filed under Machine Learning. Every entry opens with a one-sentence definition, then explains where the term is used.
Validation Data is a subset of data used to assess the performance of a model during training, ensuring it generalizes well to unseen data.
Vanishing Gradient is a problem in training neural networks where gradients become too small, hindering effective learning.
Variational Inference is a method in machine learning used to approximate complex probability distributions.