What are the types of neural networks supported by Keras?

Keras supports various types of neural networks.

1. Sequential model: The simplest type of model is the sequential model, where layers are stacked in order.
2. Functional API model: The functional API model enables users to create models with multiple inputs and outputs, as well as models with non-sequential connections.
3. Model subclassing: Users are able to customize their own neural network model by subclassing the Model class.
4. Multi-input/output models: Keras allows for the creation of models with multiple inputs and outputs.
5. Classic models such as ResNet and Inception: Keras also includes some classic neural network models like ResNet and Inception, which users can directly utilize for transfer learning.
6. Custom network layer: Users have the ability to create their own neural network structures by customizing network layers.
7. Custom loss functions and evaluation metrics: Keras also supports custom loss functions and evaluation metrics created by the user.