A neural network learns by iteratively refining its internal parameters through a three-stage cycle: What is a Neural Network? - AWS
Neural networks consist of interconnected layers of "artificial neurons": Make Your Own Neural Network
Intermediate layers where the primary computation and pattern extraction occur. A neural network learns by iteratively refining its
Adjustable parameters that determine the strength of connections between neurons. 2. The Learning Process Make Your Own Neural Network
Produces the final prediction, such as identifying a handwritten digit.
Receives the raw data, such as pixel values from an image.