Comparison
Deep Learning vs Machine Learning
Deep Learning and Machine Learning are both common AI/LLM terms but cover different ideas. Here is a quick side-by-side.
When you would reach for Deep Learning
Deep Learning comes up when the question is fundamentally about foundations.
Image recognition models like ResNet.
When you would reach for Machine Learning
Machine Learning comes up when the question is fundamentally about foundations.
A spam classifier learning what spam looks like from labeled examples (supervised).
Frequently asked
What is the difference between Deep Learning and Machine Learning?
Deep Learning: Deep learning is machine learning using neural networks with many layers ("deep" = many layers). It powers nearly every recent breakthrough in AI, including LLMs and image generators. Machine Learning: Machine learning is the branch of AI in which models learn patterns from data instead of being explicitly programmed. The training process adjusts model parameters to reduce error on examples.
When should I use Deep Learning vs Machine Learning?
Deep Learning is the right concept when you are focused on foundations. Machine Learning applies when you are focused on foundations.
Are Deep Learning and Machine Learning the same thing?
No. Deep Learning is foundations; Machine Learning is foundations. They are related but address different parts of the AI stack.