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zakruti.com » IT - Software » freeCodeCamp.org
PyTorch Basics and Gradient Descent - Deep Learning with PyTorch: Zero to GANs - Part 1 of 6

PyTorch Basics and Gradient Descent - Deep Learning with PyTorch: Zero to GANs - Part 1 of 6

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Rating: 4.0; Vote: 1
/ PyTorch basics: https://jovian.ai/aakashns/01-pytorch-basics Linear regression: https://jovian.ai/aakashns/02-linear-regression Machine learning: https://jovian.ai/aakashns/machine-learning-intro Discussion forum: https://jovian.ai/forum/c/pytorch-zero-to-gans/lecture-1-pytorch-basics-linear-regression/63 Introduction to machine learning and Jupyter notebooks PyTorch basics: tensors, gradients, and autograd Linear regression & gradient descent from scratch Using PyTorch modules: nn.Linear & nn.functional
Date: 2022-03-14

Comments and reviews: 6


In the above video while applying the fit fuction if we get the loss vaalue least at some poit consider as 70th epoch the loss value at 100th that is the last epoch is considerebly high compared to the minimumI have found so for my model to be good I need the model of the 70th epoch so how can I get it? as the final model will be of the 100th epoch..!! at 1:21:01
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Q) How to get file_id if we create a file at collab and would like to save an instance at jovian? (showed here in first cell of referred notebook)
_ The reverse works i.e. creating a new file at jovian and running at collab. _

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Hi there
Kudos - to Aakash and freecodecamp team for coming up with this.
Again great explanation by Aakash.Keep it up.Hope you keep making this tutorials for every technology out there in Data Science field.

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1:02:57 when I tried to print weights and biases after w.grad.zero_() , it gives me an an error: nontype object has no attribute zero_ . Someone plz help, I'm learning these for the first time.
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I have found three different series taught by the same guy. Not sure which to follow as I've gotten myself confused before.
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i get that it was intentional for us to not get the linear regression perfectly
but man i got so disappointed of myself

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