What are advanced neural network architectures?

What are advanced neural network architectures?

Advanced neural network architectures include models like CNNs, RNNs, and Transformers, designed for complex tasks.

Can you explain how Convolutional Neural Networks (CNNs) work?

CNNs use convolutional layers to automatically detect features in images, making them ideal for image recognition tasks.

What are the advantages of using Transformers over RNNs?

Transformers handle long-range dependencies better and are more parallelizable, leading to faster training times.

Are there any recent advancements in neural network architectures?

Yes, recent advancements include architectures like Vision Transformers and EfficientNet, which improve performance and efficiency.