What are the key considerations in designing a neural network architecture?

What are the key considerations in designing a neural network architecture?

When designing a neural network architecture, consider factors like the problem type, data size, and desired accuracy.

How do I choose the right number of layers and neurons?

Start with a simple architecture and gradually increase complexity. Use techniques like cross-validation to find the best configuration.

What role does activation function play in the architecture?

Activation functions introduce non-linearity, allowing the network to learn complex patterns. Common choices include ReLU and sigmoid.

Can you explain overfitting and how to prevent it?

Overfitting occurs when a model learns noise instead of the signal. To prevent it, use techniques like dropout, regularization, and early stopping.