How does neural network training work?

Can you explain how neural network training works?

Sure! Neural network training involves adjusting the weights of the connections based on the data it processes.

What is the role of the training data in this process?

Training data is crucial as it helps the model learn patterns and make predictions by providing examples.

How do you evaluate if a neural network is trained well?

We evaluate a neural network's performance using metrics like accuracy, loss, and validation data to ensure it generalizes well.

What are some common challenges in training neural networks?

Common challenges include overfitting, underfitting, and the need for large amounts of data to achieve good performance.