What are the key steps in training a neural network?

What are the key steps in training a neural network?

The key steps include data collection, preprocessing, model selection, training, and evaluation.

Can you explain the data preprocessing step?

Sure! Data preprocessing involves cleaning the data, normalizing it, and splitting it into training and testing sets.

What is the importance of model selection?

Model selection is crucial because it determines how well the neural network can learn from the data and generalize to new data.

How do I evaluate the performance of my trained model?

You can evaluate performance using metrics like accuracy, precision, recall, and F1 score on the test dataset.