thank you
Just found this really great intro to matplotlib, focusing on the OO API https://realpython.com/python-matplotlib-guide/
Same issue here. Iâve installed CTAGs but cannot find symbols.
Shift+Command+F works for me as well.
Hi, after installing ctags please add
âpython.workspaceSymbols.ctagsPathâ: âctagsâ
in your user settings.json file in the visual studio code. The symbols now work for me.
These predictions come from a fully trained model as in the notebook:
I just wanted to say: wow. This is so impressive that a neural net can do this! And that is building on top of resnet that was designed to do something quite different.
This is amazing
What you can do to come up with the number 25088 is removing the nn.Linear() part and simply checking the size of the flattened final layer.
head_reg4 = nn.Sequential(Flatten())
learn = ConvLearner.pretrained(f_model, md, custom_head=head_reg4)
learn.opt_fn = optim.Adam
learn.crit = nn.L1Loss()
learn.summary()
It will show you
('Flatten-123',
OrderedDict([('input_shape', [-1, 512, 7, 7]),
('output_shape', [-1, 25088]),
('nb_params', 0)]))])
at the end of the output.
Hi @yggg, âquitâ pdb properly prevents your Jupyter from hang https://github.com/ipython/ipython/issues/10516.
I found a few things.
Moving in Atom â handy navigation manual.
atom-ui-ide. Among other things, it lets you find all references of a function. (either this or python-ide gives you hover-documentation like VSC). Itâs sort-of a base package for IDE functionality.
python-ide builds atop that and allows you to search symbols / function declarations in the current project - not just file. However, it requires python language server to work, which is maintained by Palantir â so I donât know how shady/safe that is. It also letâs you hover over functions/classes for documentation, even for out-of-project imports. It also letâs you CMD-click on a function and go straight to its declaration, even out-of-project. I havenât seen this work in all cases (worked for sklearn.ndimage imports but not sklearn.metrics), but Iâve been able to CMD-click directly into the NumPy source code w/ this.
atom-ctags enables the built-in Atom search features. It builds a ctags file of recognized symbols, per project. I think VSC does this automatically behind the scenes. It also letâs you use CMD-Shift-R (Mac) to search symbols in a project (the âopimâ search Jeremy did).
The functionality does come with a price. On my MacBook, enabling auto-ide-ui adds a solid half-second to Atomâs start time. Enabling it with python-ide makes that almost a full second but feels longer.
Having played with it a bit, I think if I want to keep Atomâs speed & minimalism, Iâd stick with using the atom-ctags to let me search symbols or go to definitions (CMD-Shift-Down or CMD-Shift-Up to come back) â although it doesnât always work: Iâm not sure when/not symbols/ctags are generated.
I may check out VSC for Mac (or just Visual Studio?) if I find I need the functionality, but thatâs what Iâve found so far.
I was wondering why we use âpredict_batchâ function for making predictions in case of largest item classifier but donât use it in other cases. As far as I can see this code:
x,y = next(iter(md.val_dl))
predict_batch(learn.model, x)
and this code:
x,y = next(iter(md.val_dl))
learn.model(VV(x))
give the same output. Why do we use âpredict_batchâ then?
Just because it ensures that eval
and reset
are called first. I donât use it in some of the lessons since I want to teach how to do it manually.
All the videos are âUnlistedâ in Youtube. Now that part 2 is officially launched, is this intended?
The links in the time line are broken.
Many thanks - fixed now.
re: learning greek letters - my comprehension skyrocketed when I picked up Mathematical Notation: A Guide for Engineers and Scientists and could finally search for symbols online / vocalize them etc etc. highly recommend it.
I got it dinning table too. the highest two probabilities were dining table ( 5.9479e-01) and chair (3.5335e-01).
Seconded! Really great book.
I tried multiple times, but couldnât make out the name of the debugger one of the students (Elsa I think) mentioned in the video https://youtu.be/Z0ssNAbe81M?t=6551. Did anyone manage to capture the name of the debugger he uses?
I think he said something like:
ipython.core.debugger import tracer
Is that what you are looking for?
Indeed, Tracer takes color as a parameter so it makes sense in the context of whatâs mentioned in the video. Thank you!