Lecture 2: Working with Images & Logistic Regression

Deep Learning with PyTorch: Zero to GANs Lecture 2 - Working with Images & Logistic Regress
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Session Links
English: https://youtu.be/uuuzvOEC0zw
Hindi: https://youtu.be/qmzgJvVP9XA

Lecture Date and Time: November 28, 2020,
English: 9 PM IST/8.30 AM PST | Add to calendar (Google)
Hindi: 11 AM IST | Add to calendar (Google)

Notebooks :

  1. Logistic Regression: https://jovian.ai/aakashns/03-logistic-regression
  2. Logistic Regression minimal starter: https://jovian.ai/aakashns/mnist-logistic-minimal
  3. Linear Regression minimal starter: https://jovian.ai/aakashns/housing-linear-minimal

What to do after the lecture?

  • Run the Jupyter notebooks shared above (try other datasets)
  • Ask and answer questions on this topic (scroll down)
  • Start working on Assignment 2 - Train Your First Model

Asking/Answering Questions:

Reply on this thread to ask questions during and after the lecture. Before asking, scroll through the thread and check if your question (or a similar one) is already present. If yes, just like it. During the lecture, we’ll answer 8-10 questions with the most likes. The rest will be answered on the forum. If you see a question you know the answer to, please post your answer as a reply to that question. Let’s help each other learn!

Assignment 2: Train Your First Model
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too fast for beginner … but that’s ok … I need to refresh maths and revisit session multiple times :slight_smile:

1 Like
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Is there a method to choosebatch size?

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what are things to note when we do for other image datsets

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how to do lebeling for unlabel image datasets

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How can we change the learning rate at the point where the model’s accuracy starts becoming constant? Something like adaptive learning rate?

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Why during evaluation time we don’t call model.eval() and torch.no_grad?

#9

Helo aakash…
Can I kindly have the recorded video for lecture 2…??

#10

@hemanth, if we want to post our project on linear regression and ask for people’s opinion and advises on it,for this in which group do i post my project?

#11

Thank you for pointing this out, @sathi-satb!
I have created a new thread which can be found here:

#12

Hey @agatha-l, the session links are given in the description above!

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as @aakashns was calling fit function for 5 5 epochs, and was printing result of each iteration, from there we can figure out whether our accuracy is getting constant, then we decrease learning rate for next call of fit function.

#14

the kernel dies as soon as i do plt.imshow() in my jupyter notebook