Moved- See Edit! A Guided Walk-through of 2.0 (Like Practical Deep Learning for Coders)

fastai fastai dev
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Thanks @mrfabulous1, your kind words and support yourself help keep me motivated to do these things :slight_smile:

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count me in!

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Absolutely looking forward to this. I had started out with Jeremyā€™s walkthrough lectures but had to drop off after the last walkthrough. So havenā€™t kept pace with fastai 2.0. would be great to learn it from you. Please keep us all in the loop :slight_smile:

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@sgugger just finished up all of his notebooks as well for the course! You can find all of those here:

Once Iā€™m back from San Francisco Iā€™ll make the megathread for the study group (expect Friday or Saturday)

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Wait youā€™re in SF, and didnā€™t come to visit!?! I hope you had a nice trip. :slight_smile: Sorry about all the rainā€¦

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Rain is much nicer here than Florida! (Less dense. I love it!)

Iā€™ve made the study group thread, you can find it here: A walk with fastai2 - Study Group and Online Lectures Megathread

Iā€˜m looking forward to seeing everyone there :slight_smile:

As I update the course nbā€™s Iā€™ll bleed over any other notebooks/techniques into the Practical repo so anyone thatā€™s starred this one wonā€™t get confused on which to follow :slight_smile:

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Hi muellerzr it sounds like you have been busy!

Question: How many hours a day you sleep :question:

Thanks for the notebooks they will help many people who are little slower than yourself! (That includes me :wink:)

Cheers mrfabulous1 :grinning::grinning:

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I promise a decent amount :wink: (5-6 hrs or so, college!) Iā€™m happy to hear they help :slight_smile:

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For anyone looking at this later, I moved all the notebooks to a different repo for the study group:

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Hi @muellerzr, these walk throughs are very helpful. I am currently attempting your 09a_IMDB_Sample.ipynb walkthough, and receive an error at the following line

dbunch_lm = imdb_lm.dataloaders(df_tok, bs=64, seq_len=72)

The error is below. Any thoughts on a possible solution?

 dbunch_lm = imdb_lm.dataloaders(df_tok, bs=64, seq_len=72)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastai2/data/block.py", line 98, in dataloaders
    dsets = self.datasets(source)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastai2/data/block.py", line 95, in datasets
    return Datasets(items, tfms=self._combine_type_tfms(), splits=splits, dl_type=self.dl_type, n_inp=self.n_inp, verbose=verbose)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastai2/data/core.py", line 261, in __init__
    self.tls = L(tls if tls else [TfmdLists(items, t, **kwargs) for t in L(ifnone(tfms,[None]))])
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastai2/data/core.py", line 261, in <listcomp>
    self.tls = L(tls if tls else [TfmdLists(items, t, **kwargs) for t in L(ifnone(tfms,[None]))])
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastcore/foundation.py", line 41, in __call__
    res = super().__call__(*((x,) + args), **kwargs)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastai2/data/core.py", line 202, in __init__
    self.setup(train_setup=train_setup)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastai2/data/core.py", line 215, in setup
    self.tfms.setup(self, train_setup)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastcore/transform.py", line 179, in setup
    for t in tfms: self.add(t,items, train_setup)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastcore/transform.py", line 182, in add
    t.setup(items, train_setup)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastcore/transform.py", line 78, in setup
    return self.setups(getattr(items, 'train', items) if train_setup else items)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastcore/dispatch.py", line 98, in __call__
    return f(*args, **kwargs)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastai2/text/data.py", line 35, in setups
    count = dsets.counter if hasattr(dsets, 'counter') else Counter(p for o in dsets for p in o)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/collections/__init__.py", line 568, in __init__
    self.update(*args, **kwds)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/collections/__init__.py", line 655, in update
    _count_elements(self, iterable)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastai2/text/data.py", line 35, in <genexpr>
    count = dsets.counter if hasattr(dsets, 'counter') else Counter(p for o in dsets for p in o)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastai2/data/core.py", line 208, in <genexpr>
    def __iter__(self): return (self[i] for i in range(len(self)))
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastai2/data/core.py", line 242, in __getitem__
    return self._after_item(res) if is_indexer(idx) else res.map(self._after_item)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastai2/data/core.py", line 206, in _after_item
    def _after_item(self, o): return self.tfms(o)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastcore/transform.py", line 185, in __call__
    def __call__(self, o): return compose_tfms(o, tfms=self.fs, split_idx=self.split_idx)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastcore/transform.py", line 138, in compose_tfms
    x = f(x, **kwargs)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastcore/transform.py", line 72, in __call__
    def __call__(self, x, **kwargs): return self._call('encodes', x, **kwargs)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastcore/transform.py", line 83, in _call
    if not _is_tuple(x): return self._do_call(f, x, **kwargs)
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastcore/transform.py", line 88, in _do_call
    return x if f is None else retain_type(f(x, **kwargs), x, f.returns_none(x))
  File "/home/cdparks/anaconda3/envs/fastai-v2/lib/python3.7/site-packages/fastcore/dispatch.py", line 98, in __call__
    return f(*args, **kwargs)
TypeError: 'list' object is not callable
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The language notebooks have not been updated whatsoever, I wouldnā€™t expect them to be until a few weeks before the language section :slight_smile: sorry! (Just what I can handle university time wise). Iā€™d recommend looking at the course notebooks under fastai2/course

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Have a look at my notebooks here that I used for a recent Kaggle competition, theyā€™re based on the IMDB tutorial on dev.fast.ai, so you should give that tutorial a go too :slight_smile:

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