PyTorch for Deep Learning – Full Course / Tutorial




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In this course, you will learn how to build deep learning models with PyTorch and Python. The course makes PyTorch a bit more approachable for people starting out with deep learning and neural networks.

💻 Code:
https://jovian.ml/aakashns/01-pytorch-basics
https://jovian.ml/aakashns/02-linear-regression
https://jovian.ml/aakashns/03-logistic-regression
https://jovian.ml/aakashns/04-feedforward-nn
https://jovian.ml/aakashns/05-cifar10-cnn
https://jovian.ml/aakashns/05b-cifar10-resnet
https://jovian.ml/aakashns/06-mnist-gan

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:03:25) PyTorch Basics & Linear Regression
⌨️ (1:32:15) Image Classification with Logistic Regression
⌨️ (3:06:59) Training Deep Neural Networks on a GPU with PyTorch
⌨️ (4:44:51) Image Classification using Convolutional Neural Networks
⌨️ (6:35:11) Residual Networks, Data Augmentation and Regularization
⌨️ (8:12:08) Training Generative Adverserial Networks (GANs)

Source


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Comment List

  • freeCodeCamp.org
    November 13, 2020

    Hi everyone!
    This is Aakash, Founder of Jovian.ml and creator of this course.

    If you enjoyed this free course:
    ✅ Subscribe to our YouTube Channel for more free content on Data Science: https://bit.ly/JovianmlYoutube
    ▶️ Check out our platform, and share your valuable feedback: https://jovian.ml/

  • freeCodeCamp.org
    November 13, 2020

    please english subtitle

  • freeCodeCamp.org
    November 13, 2020

    Aakash has done an incredible job with this.
    As someone transitioning from TensorFlow to PyTorch I have to say this is perfect.

  • freeCodeCamp.org
    November 13, 2020

    can you add subtitles? please

  • freeCodeCamp.org
    November 13, 2020

    Hey guys, just curious but how much math should i know before starting this tutorial? Thanks

  • freeCodeCamp.org
    November 13, 2020

    wow, this cover ups whole nn syllabus covered in a college.
    wait what ??????

  • freeCodeCamp.org
    November 13, 2020

    About tricky generator loss function 9:04:21

  • freeCodeCamp.org
    November 13, 2020

    When you did the Linear regression using nn module in the optimiser you just input the parameters and the learning rate. Where do we mention that this is a minimisation and not maximisation?

  • freeCodeCamp.org
    November 13, 2020

    I fell in love with the instructor <3

  • freeCodeCamp.org
    November 13, 2020

    Thumbs up for live lecture instructor and thumbs down for 9hr lecture instructor.

  • freeCodeCamp.org
    November 13, 2020

    Is this lecture good or live lectures are good?

  • freeCodeCamp.org
    November 13, 2020

    very well explained

  • freeCodeCamp.org
    November 13, 2020

    Can you make videos about RNN LSTM GRU and Image caption etc

  • freeCodeCamp.org
    November 13, 2020

    I have 4 input variables and one output. inputs size is 2000,4 and targets size is 2000. when I use mse_loss to calculate loss, it give me a warning:
    <ipython-input-22-c89eaa2e9d29>:1: UserWarning: Using a target size (torch.Size([2000])) that is different to the input size (torch.Size([2000, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.

    loss=loss_fn(model(inputs),target)
    How can I fix this?
    p.s: I ignored the warning went ahead with the code. The loss first goes down, then after some point, it goes up again, then starts going down again. This loop keeps going on and on. My error hovers aroung 4k-5k.

  • freeCodeCamp.org
    November 13, 2020

    nah dude not with this accent hell no

  • freeCodeCamp.org
    November 13, 2020

    I love it every time he says "r"

  • freeCodeCamp.org
    November 13, 2020

    In DNN with GPU, My accuracy stays at 10% after using the fit function when my device is CPU, is that normal ? GPU and CPU should have the same result, should'nt they? It's not just a matter of calculation time?

  • freeCodeCamp.org
    November 13, 2020

    Copy paste nice 👍

  • freeCodeCamp.org
    November 13, 2020

    pls generate the eng-sub so that we can learn even more easier! anyway, this course is amazing!

  • freeCodeCamp.org
    November 13, 2020

    You are doing an amazing job.

  • freeCodeCamp.org
    November 13, 2020

    How does Jovian compare to MLFlow and also experiment-tracking features in Sagemaker?

  • freeCodeCamp.org
    November 13, 2020

    Thanks for your efforts! This has been a great learning experience!

  • freeCodeCamp.org
    November 13, 2020

    Where can I find the code link? I can't access it now.

  • freeCodeCamp.org
    November 13, 2020

    Does this cover backpropagation?

  • freeCodeCamp.org
    November 13, 2020

    Isn't py torch an ide for python?

  • freeCodeCamp.org
    November 13, 2020

    There are ads don't tell lie

  • freeCodeCamp.org
    November 13, 2020

    In the linear regression example, a graph is shown of loss vs a weight.
    If the loss is quadratic with respect to any weight, then why is the graph not a parabola but such a curve?

  • freeCodeCamp.org
    November 13, 2020

    Nice tutorial, thanks!

  • freeCodeCamp.org
    November 13, 2020

    The whole model in Tensorflow doesn't make any sense, The sessions, computational graph aren't so intuitive. Theya aren't pythonic.

  • freeCodeCamp.org
    November 13, 2020

    I'm confused a blit. Are you calling "test set" as a "validation set"? Because we're not updating hyperparameters according to validation loss. And the figure in 6:48:55 is a train-test error figure.

  • freeCodeCamp.org
    November 13, 2020

    That cat with bread in its face tho

  • freeCodeCamp.org
    November 13, 2020

    Do I need to learn ML before doing this course?

  • freeCodeCamp.org
    November 13, 2020

    hope there will be caption words for non-English speaker

  • freeCodeCamp.org
    November 13, 2020

    Ah yes back to a blessed indian tutorial
    bless my people lmao

  • freeCodeCamp.org
    November 13, 2020

    Thanks a lot. Jovian. Aakahs and freecodecamp

  • freeCodeCamp.org
    November 13, 2020

    You have Indian accent

    Are you Indian ???

  • freeCodeCamp.org
    November 13, 2020

    why w.grad.zero_() is done?

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