Definition:
Deep Learning is a subset of Machine Learning that uses artificial neural networks with multiple layers (deep networks) to model complex patterns in data.
Key Points:
Uses multiple hidden layers to extract features automatically
Requires large datasets and high computational power
Learns hierarchical representations of data
Applications:
Image and speech recognition
Natural Language Processing (NLP)
Self-driving cars
Recommendation systems
Advantages:
Handles complex, high-dimensional data
Automatic feature extraction
Highly accurate for pattern recognition
Limitations:
Needs large amounts of data
Computationally expensive
Hard to interpret
Take quizzes related to this topic and see where you stand!
Start Quiz Now