AI/Machine learning

AI/Machine learning to share knowledge and experience about AI and Machine learning

23/05/2024

The terms cost function & loss function are analogous. Loss function: Used when we refer to the error for a single training example. Cost function: Used to refer to an average of the loss functions over an entire training data.

21/05/2024

Difference between Model Parameter and Hyperparameter .
Model parameters : are configuration variables that are internal to the model, and a model learns them on its own. For example, W Weights.
Hyperparameters are those parameters that are explicitly defined by the user to control the learning process.
These are usually defined manually by the machine learning engineer. For example , learning rate.

21/05/2024

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