Overview
Deep learning uses multi-layered neural networks to solve complex problems like image recognition, natural language processing, and autonomous driving.
Why 'Deep'?
The 'deep' refers to the number of hidden layers in the neural network. More layers allow the model to learn increasingly abstract representations of the data.
Requirements
Deep learning typically requires massive datasets and significant computational power, often provided by GPUs.