Build a Deep Learning Project with Python & PyTorch From Scratch | Hands-on Tutorial

Hello Akash,
I want to know where I would be able to follow this tutorial if I have knowledge behind neural networks theory(CNN,backpropagation,gradient descent), python,pandas and scikit learn, but no experience with either PyTorch or Tensorflow.
would I be able to follow this tutorial?

I am not able to edit code in Jovian itself. When I connect to Google collab, it is not showing the first cell with pip install jovian. Can you please help me sir? Is it because I created my account by connecting to GitHub?

I get this error :
RuntimeError: Input type (torch.FloatTensor) and weight type (torch.cuda.FloatTensor) should be the same or input should be a MKLDNN tensor and weight is a dense tensor

history += fit(EPOCHS, LR, model, train_dl, val_dl, torch.optim.Adam)

any suggetions ?

Seems interesting. Will you be doing the same in TensorFlow !? Thanks.

Did you have Brain MRI image detection for Alzheimer disease project?

Thank You so much for this course and project
I really loved the way you explained things so easily

Very excellent explanation (we need more for dealing with dataset in kitti dataset using pytorch + image segmentation )

amazing lecture

There is no one in this world who can teach each and everything so clearly and descriptive like you. Hats-off sir.

How to predict image with help of .pth model in new Jupiter notebook can anyone help

Get your hands dirty on project. Stop following tutorial

Unfortunately I missed the stream but I did do the ZerotoPandas course and was so proud of my final project. I've now started the ZerotoGANS series and hope to learn many more skills from this wonderful channel.

Wow, thank you!

I hope they do something like ZeroToGANs but instead be ZeroToTransformers. That would be amazing!

Fantastic!!! I managed to complete a project although I was scared to :) Thank you 🙏

After completing all assignments in the course, i had already given up in carrying out the course project until i came across this video. Thank you Mr Aakhash for this wonderful video, you are a fantastic teacher.

Hello Aakash,

I was looking at the Kaggle competition launched by Jovian a couple of months ago and I was wondering how one can get access to the dataset to play with it to learn more about multilabel classification as it says, "This is a limited-participation competition. Only invited users may participate." and when trying to download the dataset, "Unable to perform operation since you're not a participant of this limited competition." So we can't view the dataset, please let us know how we can access it,

Thanks!

I followed the Zero to GANs course because I wanted to learn how to train models by myself. This course is just amazing and super interesting. This video as an addition to the course makes it more clear to understand the big picture of ML. Big thank you for this amazing work 👍

this notebook is available ?

It's so motivating to watch your workshop video. Even just the playback from live. <3

Jovian is the future of ML/DL education