Efficient Neural Architecture Search with Performance Prediction

Understand

Neural networks are powerful models that have a remarkable ability to extract patterns that are too complex to be noticed by humans or other machine learning models.

• Neural networks are the first class of models that can train end-to-end systems with large learning capacities.
• However, we still have the difficult challenge of designing the neural network, which requires human experience and a long process of trial and error.
• As a solution, we can use a neural architecture search to find the best network architecture for the task at hand.