Deep Learning for Coders — Chapter 7 Key Takeaways
The chapter explores Imagenette, a dataset that helps test models. Normalization, method to help make models run smoother and learn faster by keeping pixels in check. Other methods to boost model’s performance include: Progressive Resizing, Test Time Augmentation, Mixup, and Label Smoothing. Imagenette What and why? A bite-sized version of the…
Deep Learning for Coders — Chapter 7 Key Takeaways The chapter explores Imagenette, a dataset that helps test models. Normalization, method to help make models run smoother and learn faster by keeping pixels in check. Other methods to boost model’s performance include: Progressive Resizing, Test Time Augmentation, Mixup, and Label Smoothing. Imagenette What and why? A bite-sized version of the… deep-learning
Deep Learning Coders — Chapter 7 Key Takeaways chapter explores Imagenette dataset help test model Normalization method help make model run smoother learn faster keeping pixel check method boost model’s performance include Progressive Resizing Test Time Augmentation Mixup Label Smoothing Imagenette bitesized version the… deeplearning