Neural Network Projects with Python

Splitting the data into training, testing, and validation sets

The last step in data preprocessing is to split the data into training, testing, and validation sets:

• Training set: The neural network will be trained on this subset of the data.
• Validation set: This set of data allows us to perform hyperparameter tuning (that is, tuning the number of hidden layers) using an unbiased source of data.
• Testing set: The final evaluation of the neural network will be based on this subset of the data.

The purpose of splitting the data into training, testing, and validation sets is to avoid overfitting and to provide an unbiased source of data for evaluating model performance. Typically, we will use the training and validation set to tune and improve ...