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Category: E

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Early Stopping

Early stopping is a technique that is commonly used to avoid overtraining a model. In practice, model training data is split into a “training set”

Eager Execution

Eager execution as an environment evaluates operations immediately, and the operations return values rather than computational graphs to run later. Similarly, TensorFlow calculates tensor values

Explorer

It is an application preview web app. Explorer in AI: Applications The major examples of the use of Explorer in AI include the following: 1.

Ensemble Learning

Ensemble learning integrates predictions from many machine learning algorithms to improve prediction accuracy. It works on the fundamental principle that predictions are made with more

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