Artificial Intelligence & Machine Learning
Deep Learning
Definition
Deep Learning is a subfield of machine learning based on artificial neural networks with multiple layers (deep architectures). These networks are capable of learning complex patterns and representations from large amounts of data.
Why It Matters
Deep learning is responsible for the recent breakthroughs in AI, especially in areas like image recognition, natural language processing, and speech recognition. The "deep" layers allow the model to learn a hierarchy of features, from simple to complex.
Contextual Example
Facial recognition systems use deep learning. The initial layers of the neural network might learn to detect simple edges, subsequent layers learn to recognize shapes like eyes and noses, and deeper layers learn to recognize specific faces.
Common Misunderstandings
- Deep learning requires very large datasets and significant computational power (often GPUs) to train effectively.
- All deep learning is machine learning, but not all machine learning is deep learning.