What are the different types of neural networks?

What are the different types of neural networks?

There are several types of neural networks, including feedforward, convolutional, recurrent, and more. Would you like to know about a specific type?

Can you explain convolutional neural networks?

Convolutional Neural Networks (CNNs) are primarily used for image processing. They use convolutional layers to automatically detect features in images.

What about recurrent neural networks?

Recurrent Neural Networks (RNNs) are designed for sequential data, like time series or natural language, allowing them to maintain memory of previous inputs.

How do these networks differ in their applications?

Each type of neural network is optimized for different tasks: CNNs excel in image tasks, RNNs in sequence tasks, and others like GANs in generating data.