Keras
Keras is an open-source deep learning framework that provides a high-level interface for building, training, and deploying neural networks.
What is Keras?
Keras simplifies the development of deep learning models by offering intuitive APIs for defining neural network architectures, configuring training, and evaluating model performance. It is tightly integrated with TensorFlow, allowing developers to build models using TensorFlow as the underlying execution engine while benefiting from Keras's user-friendly design.
Why is Keras Important?
Building deep learning models from scratch can be complex and time-consuming. Keras reduces this complexity with modular components, making it easier to prototype, train, and deploy neural networks. Its simplicity, flexibility, and integration with TensorFlow have made it one of the most widely used frameworks for deep learning research and production.
Common use cases
Keras is commonly used for image classification, natural language processing, computer vision, time-series forecasting, recommendation systems, and deep learning model development.