Keras is an open-source deep learning framework that runs on top of TensorFlow, CNTK, or Theano. It simplifies the process of building and training neural networks with its user-friendly API and modular design. Here's a quick guide to get started:
🧠 Core Concepts
- High-level Abstraction: Keras provides a simple, consistent interface for defining models, layers, and training loops.
- Modular Architecture: Build models by stacking layers like building blocks (e.g.,
Dense,Conv2D,LSTM). - Backend Flexibility: Works seamlessly with TensorFlow, CNTK, or Theano as the underlying engine.
🚀 Use Cases
- Rapid prototyping of deep learning models
- Research and experimentation with neural networks
- Production deployment with TensorFlow integration
📚 Further Reading
- Keras Getting Started Guide for hands-on practice
- TensorFlow Documentation for deeper technical insights