What types of neural network architectures can be built with Keras?

Keras enables the development of a range of neural network architectures, including convolutional neural networks (CNNs) for images, recurrent neural networks (RNNs) for sequential data, dense (fully connected) models for general computation, and generative adversarial networks (GANs) for synthetic data generation. Keras's framework is suitable for both fundamental and advanced modelling tasks across diverse industry requirements.