Deep Learning is a subset of machine learning involving neural networks with many layers that can learn representations of data with multiple levels of abstraction. It has been instrumental in advancing AI capabilities, particularly in areas like image recognition and natural language processing.
Features:
- Automatic Feature Extraction: Learns representations from raw data.
- Handling Unstructured Data: Effective with images, audio, and text.
- State-of-the-Art Performance: Powers many AI breakthroughs.
Applications in search include:
- Natural Language Processing: Understanding queries and content.
- Image Recognition: Enhancing visual search capabilities.
- Speech Recognition: Improving voice search accuracy.
Deep Learning enhances the accuracy of voice recognition, image search, and language translation services in daily life. For businesses, Deep Learning can be applied to data analysis, predictive modeling, and improving AI systems. In marketing, it enables personalization at scale and more effective targeting. Trust in AI applications powered by Deep Learning depends on their performance and the transparency with which decisions are made.
(See also Machine Learning (ML) and Transformer.)