The Core Idea
Deep learning relies on representing data across layered feature spaces, where each layer extracts increasingly abstract features from the input data. This hierarchical representation enables deep neural networks to learn complex patterns and relationships within the data.
Frequently asked questions
What is deep learning?
Deep learning is a family of machine learning methods that use multi-layer neural networks to model and solve complex problems, particularly in pattern recognition and prediction tasks.
▶ Try it live
Everything above runs in your browser — open Heat Conduction and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.