Neural networks have revolutionized the way we interact with web applications, enabling more intuitive and responsive user experiences. These powerful machine learning models can process complex inputs such as images, video, and user behavior patterns in real-time.
Key Applications
Modern web applications leverage neural networks for various purposes, including:
- Real-time pose estimation and motion tracking
- Image and video processing
- Natural language processing and chatbots
- User behavior prediction and personalization
Technical Implementation
The implementation of neural networks in web applications typically involves:
1. Client-side processing using JavaScript libraries such as TensorFlow.js or ML5.js
2. Server-side model training and optimization
3. Real-time data processing and model inference
4. Integration with existing web technologies and frameworks