How is deep learning related to neural networks?

Can you explain how deep learning is related to neural networks?

Sure! Deep learning is a subset of machine learning that uses neural networks with many layers to analyze data.

What are neural networks exactly?

Neural networks are computational models inspired by the human brain, consisting of interconnected nodes or neurons.

How do these layers in deep learning improve performance?

The layers allow the model to learn complex patterns and representations in the data, improving its ability to make predictions.

Are there different types of neural networks?

Yes, there are several types, including convolutional neural networks (CNNs) for image processing and recurrent neural networks (RNNs) for sequential data.