You can get into the console and navigate to where the fastai library is. Then doing a git pull or something similar will bring both in sync. I think I have to do that in Paperspace.
Hii, is there a new version of ML for coders course coming up for the Fastai2 library?
Hey in lesson two i’m getting oob_score as -1.44xx!
what might be the issue?
Hi, did you ever have any luck with that ?
I’m just having the same problems, how did you solve it ?
Yes me too,
In my understanding, it is not required. Some familiarity with ML is helpful, though.
I heard that the version 4 of the course will cover Machine Learning along with Deep Learning.
Hi. I’m a newbie. Since the FastAI library has been updated, I’m unsure if I will be able to work with the same for the ML course. Can someone guide me? I have MX150 in my laptop. I tried to install the fastai library through a post on medium, which lead to one of @jeremy 's answers. But I get errors stating: No module named *** found. So, I would like to know if someone is currently doing the course on their local machine and guide me regarding the same. Thanks in advance!!
I’ve tried to use my own datasets but the error kept on coming up
What could possibly go wrong here?
#I only change the path
dls = ImageDataLoaders.from_name_func(
mixed_path, get_image_files(mixed_path), valid_pct=0.05, seed=420,
label_func=GetLabel, item_tfms=Resize(256))
dls.train.show_batch()
#That’s the error
TypeError Traceback (most recent call last)
in ()
1 dls = ImageDataLoaders.from_name_func(
2 mixed_path, get_image_files(mixed_path), valid_pct=0.05, seed=420,
----> 3 label_func=GetLabel, item_tfms=Resize(256))
4
5 dls.train.show_batch()
9 frames
/usr/local/lib/python3.6/dist-packages/fastai/data/core.py in setup(self, train_setup)
258 x = f(x)
259 self.types.append(type(x))
–> 260 types = L(t if is_listy(t) else [t] for t in self.types).concat().unique()
261 self.pretty_types = ‘\n’.join([f’ - {t}’ for t in types])
262
TypeError: ‘NoneType’ object is not iterable
I need help getting started. I went to the gradient site, created an account, and when I log in, I get the following error message regardless of the browser I am using.
ERROR LOADING
Try refreshing the page.
Error: Minified React error #130; visit https://reactjs.org/docs/error-decoder.html?invariant=130&args[]=object&args[]= for the full message or use the non-minified dev environment for full errors and additional helpful warnin
Can you help
Do we have Video lectures recorded for this ? Thank you!!