Keras, developed by Google, is a high-level API that simplifies and streamlines the creation and deployment of deep learning models. It acts as a bridge between developers and powerful deep learning frameworks like TensorFlow and PyTorch.

Here are three key functions of Keras:

1. Rapid Prototyping: Keras allows for quick and easy experimentation with different deep learning architectures. Its user-friendly interface and modular design enable rapid model building and modification, accelerating the development process.

2. Multi-Backend Support: Unlike some frameworks locked to a specific engine, Keras boasts backend adaptability. It seamlessly runs on top of either TensorFlow, PyTorch, or JAX, offering developers flexibility in choosing the best platform for their specific needs.

3. Cross-Platform Deployment: Keras models can be effortlessly deployed across various platforms, including servers, mobile devices, and even web browsers. This versatility makes it suitable for creating real-world applications accessible to a wider audience.

“Boost your deep learning development with Keras. Get started today!“