Learning platform for data science and ML

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Ahmed Amrani Akdi

Version 1

lol-champs-dcgan

06b-anime-dcgan

protein-kaggle-0togan

Version 5

03-cifar10-feedforward

Version 4

Version 3

Version 2

finished assignement

02-insurance-linear-regression

smooth l1 is better than mse

Version 15

used MSE loss, best lr is 5e-4, seeing predictions

used MSE loss, best lr is 5e-4, more epochs don&#39;t make the loss better

used MSE loss, best lr is 5e-4

used MSE loss, best lr is 1e-4, when reducing lr, the gd becomes too slow

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"Deep Learning with PyTorch: Zero to GANs" is a beginner-friendly online course offering a practical and coding-focused introduction to deep learning using the PyTorch framework. Enroll now to start learning.

* Watch live hands-on tutorials on YouTube
* Train models on cloud Jupyter notebooks
* Build an end-to-end real-world course project
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The course is self-paced and there are no deadlines. There are no prerequisites for this course.

Read the [course FAQs](https://jovian.ai/forum/t/frequently-asked-questions-faq-about-the-pytorch-course/1528) or visit the [community discussion forum](https://jovian.ai/forum/c/pytorch-zero-to-gans/18) to learn more.

deep-learning-with-pytorch-zero-to-gans

Aakash Rao N S

A beginner-friendly, practical, and coding-focused introduction to Deep Learning using PyTorch. Watch hands-on tutorials, train models on cloud Jupyter notebooks, and build real-world projects. Earn a verified certificate of accomplishment.

Deep Learning with PyTorch: Zero to GANs

01-tensor-operations

Ahmed Amrani Akdi

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Deep Learning with PyTorch: Zero to GANs

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