Category: Model optimization

Optimizing Model Performance: A Guide to Hyperparameter Tuning in Python with Keras

Optimizing Model Performance: A Guide to Hyperparameter Tuning in Python with Keras Hyperparameter tuning is the process of selecting the best set of hyperparameters for a machine learning model to optimize its performance. Hyperparameters are values that cannot be learned from the data, but are set by the user before training the model. Examples of hyperparameters include learning rate, batch size, number of hidden layers, and number of neurons in each hidden layer. Optimizing hyperparameters is important because it can…