What is Hyperparameter Tuning?
The goal of hyperparameter tuning is to fine-tune the hyperparameters so that the machine can build a robust model that performs well on unknown data. Effective hyperparameter adjustment, in conjunction with excellent feature engineering, may considerably improve model performance.
What is StyleGAN-T?
StyleGAN-T is a text-to-image generation model based on the architecture of the Generative Adversarial Network (GAN). GAN models were obsolete with the arrival of diffusion models into the picture generation space until StyleGAN-T was released in January 2023.
What is Transfer Learning?
Assume you have an issue you want to tackle with computer vision but just a few images to base your new model on. What are your options?
What is EfficientNet?
First introduced in 2019 by a team of Google AI researchers, quickly became a go-to architecture for many difficult tasks