What is Deep Learning?
Deep Learning is a subset of Machine Learning, which is itself a branch of Artificial Intelligence. It focuses on algorithms that learn from data in a hierarchical way, utilizing structures known as neural networks.
Key Characteristics of Deep Learning:
- Neural Networks: Deep Learning primarily uses multi-layered neural networks that simulate human brain functioning.
- Large Datasets: It requires large volumes of data for training, as it can capture complex patterns and representations.
- Feature Extraction: One of its significant advantages is automatic feature extraction, eliminating the need for manual intervention.
Applications:
Deep Learning has empowered advancements in various fields, including:
- Image and Speech Recognition
- Natural Language Processing
- Autonomous Vehicles
Conclusion:
In summary, Deep Learning is a transformative technology that harnesses vast amounts of data for high-level computations, enabling machines to learn and perform tasks with remarkable accuracy.