4 ms·
How you do it is similar to this talk: https://youtu.be/MiiWzJE0fEA https://youtu.be/MiiWzJE0fEA It's not perfect. You do need real world data. Synthetic dat
by proverbialbunny 7y ago
How you do it is similar to this talk: https://youtu.be/MiiWzJE0fEA https://youtu.be/MiiWzJE0fEA
It's not perfect. You do need real world data. Synthetic data is great for creating edge cases. Say you want your model to classify more general use cases, but your real world data is limited. You can generate data that fits edge cases with some variance and the model will accept more variety, reducing over fitting.