Ever wondered how to tune a car for maximum performance?
Image: Gpeyre, CC BY-SA 4.0, via Wikimedia Commons
Ever wondered how to tune a car for maximum performance?
You're trying to get the best mileage out of your car, but you're not sure which gear to shift into at what speed.
Imagine adjusting the gear shift based on speed to get the most miles per gallon. Hyperparameter tuning is like finding the perfect gear for your car's engine.
Example
If you shift gears too early or too late, you'll waste fuel. Finding the right gear shifts (hyperparameters) optimizes fuel efficiency (model performance).
Remember this
Choosing the right gear shift (hyperparameter) optimizes fuel efficiency (model performance).
Text adapted from Wikipedia, licensed under CC BY-SA 4.0.
Adam combines momentum and RMSprop: adapts per-parameter learning rates
Ever wondered how a car adjusts its speed for smooth turns?
Tesla Model Y
Tesla Model Y is the world's best-selling electric vehicle in 2023
AdaGrad's learning rate decays to zero
Why does a car's speed drop when it goes uphill?
Neural network (machine learning)
Ever tried adjusting the learning rate like tuning a musical instrument?
Fine-tuning (deep learning)
Why can we make a big change with just a tiny tweak?
to standardize: when you need zero mean and unit variance for gradient-based optimization
Why do we need to make data uniform before training a model?
Swipe through more Machine Learning concepts
Open Pocket Polymath