What are the different types of neural network architectures?

What are the different types of neural network architectures?

There are several types of neural network architectures, including feedforward, convolutional, recurrent, and generative adversarial networks.

Can you explain convolutional neural networks in more detail?

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

What are some applications of recurrent neural networks?

Recurrent Neural Networks (RNNs) are great for sequential data, such as time series analysis, natural language processing, and speech recognition.

How do generative adversarial networks work?

Generative Adversarial Networks (GANs) consist of two networks, a generator and a discriminator, that compete against each other to create realistic data.