Keras is an open-source neural network library written in Python, designed to enable fast experimentation with deep learning models. It runs seamlessly on top of TensorFlow and other backend frameworks.

Key Features 📌

  • User-Friendly: Simplifies the process of building and training models with minimal code.
  • Modular: Composed of reusable building blocks (layers, models, optimizers).
  • Extensible: Supports custom layers, loss functions, and metrics.
  • Efficient: Optimized for performance with tools like mixed precision training.

Use Cases 🚀

  • Rapid prototyping of deep learning models
  • Research and development in computer vision, NLP, and reinforcement learning
  • Integration with TensorFlow for scalable production workflows

Learning Resources 📚

Keras
Neural_Network