A deep neural network (DNN) has multiple hidden layers between the input and output. These extra layers allow the network to learn more abstract and complex patterns.
✅ Key Points
Structure: Input → Hidden Layer 1 → Hidden Layer 2 → ... → Hidden Layer N → Output
Can handle large and complex datasets.
Used in modern AI applications like image recognition, NLP, and speech recognition.
Requires high computational power and large amounts of data.