Hii can we replicate the same for tuning hyper-parameters in fastai library?
Absolutely! I’ve played around with it myself. This is the library:
So long as you set the hyperparameters to your choosing, just fit the training loop you want to run in it, and you’re off to the races. If you are confused I can show a notebook.
Hey, Please share the notebook in which you did the same with fastai library. I am new to the library. Thanks in advance!
Sure, give me a moment to clean up the notebook.
@msrdinesh here is a notebook. It is very basic, I just use the tabular problem as an example. Anything you want changed/optimized you do within the
fit_with function. If you say wanted to mess with image sizes, make the databunch in the
fit_with and have the image size as a hyperparameter. Let me know any questions!