What are some common neural network architectures?

What are some common neural network architectures?

Some common neural network architectures include Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Feedforward Neural Networks.

Can you explain how CNNs work?

Sure! CNNs are designed to process data with a grid-like topology, such as images. They use convolutional layers to automatically learn spatial hierarchies of features.

What about RNNs? How are they different?

RNNs are designed for sequential data, like time series or text. They have loops in their architecture, allowing them to maintain a memory of previous inputs.

Are there any other architectures I should know about?

Yes, there are also architectures like Long Short-Term Memory (LSTM) networks, which are a type of RNN, and Generative Adversarial Networks (GANs) for generating new data.