![]() But it wouldn’t be Python’s first global config that’s programmatically settable and that libraries probably shouldn’t touch (hello there, entire import subsystem). What I don’t love is that it allows libraries to try to assert control over this setting, which I think belongs in the hands of the application developer / integrator. There’s no technical obstacle preventing this. t_lazy_imports(True)) to globally enable lazy imports from that point forward. The other way we can fix this (as suggested) is to provide a programmatic API (e.g. If there were a reliable cross-platform way for pip/setuptools to support creating script entry points with arbitrary Python CLI flags (as suggested) that would be really neat. Several people ( have observed that neither -L nor an env var are usable ways for a distributor of a Python application to turn this on (particularly an application distributed via Python packaging.) I agree this is a problem. I hope that’s useful.Thanks for all the great discussion! Consolidating replies to a few different things that have come up: Now to serve it online and test it some more. The accuracy was pumped upto > 95 that is, state-of-the-art right? I saved it as model 5. In the next trial i want to a flip plus an flip_vert on ds_tfms part change the architecture to a deeper model resnet50 series with a learning rate slice of between 1e-3 to 1e-4. txt file which I end up writing in markdown style where I record my trials for example here’s one of my entries: Trial 3 When I’m doing deep learning experiments i make a. I may use the resources above but It’s often difficult to find where I wrote my ideas especially in the notebook because it’s mixed up with bio projects as well. My tips for good experimental notebook would be first making sure you write down the date and when you wrote it maybe an idea you want to try and organizing them in good manner. ![]() I really like markdown too needless to say. When I don’t have an internet connection I use signal the messaging application which is free in the google playstore. ![]() Notes for mac which is a application just for typing in notes as the name says. I mostly use a notebook with pen and paper which is mostly in bagpack. What are you all using? What are your tips for keeping good Deep Learning Experimental Notebooks? Also, it is open source and says it will be free forever.Īnother option that looked attractive because of it’s Markdown, but cost $15/mo is Bear. I’m going to try BoostNote, which allows you to start notes as Markdown or Snippets. ![]() Or you could use Markdown Here in a browser. An alternative would be Marxico, but it costs $16 per year. I have been using Evernote and paid $5 for EverTool, which was a horrible idea because you have to copy & paste everything back and forth between your EverNote and the tool. Does anyone know how searchable separate notes are? The idea of one long single document doesn’t sound like it will work for me. It looks like it has evolved and there is a downloadable app for all devices. I’m a mac person and I haven’t looked at OneNote recently. Jeremy said he uses OneNote, but also said he keeps everything in one long document! This is somewhere that you keep notes on what you tried and the results, so they are date-stamped and easily searchable. Jeremy mentioned how important it is to have a ‘lab’ or experimental notebook.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |