Following are some common applications where deep learning models perform well.
- Fraud detection
- Customer relationship management systems
- Computer vision
- Vocal AI
- Natural language processing
A typical DNN may have millions of parameters connecting the layers, and because of this architecture, deep learning models can learn very intricate functions and be easily applied to supervised, unsupervised, and reinforcement learning problems.