can we get a simplified tutorial for DFL google colab, since most people here are experienced enough with DFL.
e.g. regular DFL is pretty straight forward in terms of what you want to happen and which batch file to run. SO all we need is to figure out the changes between the regular and google colab DFL. and some tips and tricks should be helpful too. e.g. to backup the trained model every few hours even though it can be trained for 12 hours straight.
e.g. regular DFL is pretty straight forward in terms of what you want to happen and which batch file to run. SO all we need is to figure out the changes between the regular and google colab DFL. and some tips and tricks should be helpful too. e.g. to backup the trained model every few hours even though it can be trained for 12 hours straight.
thank you!