Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow. It is designed to enable fast experimentation with deep learning models. This page provides an overview of various Keras models and their applications.

Models

  1. Sequential Models Sequential models are the simplest and most common type of model in Keras. They are a linear stack of layers.

  2. Functional API Models Functional API allows you to define complex models, including those with shared layers and non-linear connections.

  3. Model Summaries You can summarize your models to get an overview of the layers and their parameters.

  4. Custom Layers Keras provides a way to create custom layers that can be used in your models.

Useful Resources


Image: Convolutional Neural Network

Convolutional Neural Network