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I get an error in colab TF_Part2_Music_Generation_Solution.ipynb even in [solutions] (https://colab.research.google.com/github/MITDeepLearning/introtodeeplearning/blob/master/lab1/solutions/TF_Part2_Music_Generation_Solution.ipynb) ...
  • tanat
  • Opened 
    4 days ago
  • #197

I run into this error when running lab3 (LLM_Finetuning) notebook from Google Colab. Has anyone run into similar issue? train_loader, test_loader = mdl.lab3.create_dataloader(style= leprechaun ) sample ...
  • risnub
  • 2
  • Opened 
    12 days ago
  • #196

  • kosh-i
  • Opened 
    on May 28
  • #192

The current version of the code gets a name error. Here s the code: # Test the model with example input x_input = torch.tensor([[1, 2.]]) model_output = model(x_input) print(f input shape: {x_input.shape} ...
  • DaveSprague
  • Opened 
    on May 27
  • #191

def init_hidden(self, batch_size, device): # Initialize hidden state and cell state with zeros return (torch.zeros(1, batch_size, self.hidden_size).to(device), torch.zeros(1, ...
  • tomwang57
  • 1
  • Opened 
    on May 17
  • #188

Hi, when running this code snippet it errors out as the snapshot below. Image I couldn t find any issue on lab3 at the time of the course to reflect that, so I assume it might be any changes done after ...
  • mohammadrezayaesubi
  • 4
  • Opened 
    on May 15
  • #187

it would be nice if there was a place to discuss the labs. or perhaps some place already exists?
  • marklemay
  • Opened 
    on May 1
  • #185

When I ran the code in 2.1 Dependencies, I got the following error: Preparing metadata (setup.py) ... done ... ━━━━━━ 65.6/65.6 kB 6.5 MB/s eta 0:00:00 Building wheel for mitdeeplearning (setup.py) ...
  • bitcalc
  • 2
  • Opened 
    on Apr 19
  • #181

In: https://github.com/MITDeepLearning/introtodeeplearning/blob/master/lab2/solutions/PT_Part2_Debiasing_Solution.ipynb According to the description, the calculation should be: total_loss = torch.mean(classification_loss ...
  • hoangqnguyen
  • Opened 
    on Apr 18
  • #180

In this function the length of the vectorized_songs is calculated as n = vectorized_songs.shape[0] - 1 why is there a minus 1 there vectorized_songs.shape comes out to be (200679,) shouldn t it be ...
  • FurrukhJamal
  • Opened 
    on Apr 7
  • #179
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