Daniel Bourke

Also getting this in Google Colab: 

Working on creating setup page. Idea so far: ## Notebooks 00-04 Use Google Colab for the easiest way to get started. This will take least amount of steps to get...

Thank you so much! You're better than a spellchecker hahaha! I read so much of my own stuff/code I often glaze over simple typos.

Hey @SquareGraph, I can't seem to reproduce this error on my end. I just ran [notebook 03](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/03_pytorch_computer_vision.ipynb) end-to-end on Google Colab and didn't get any errors. You could try running...

Hey @Leozyc-waseda, some of these metrics are covered for classification problems here: https://www.learnpytorch.io/02_pytorch_classification/#9-more-classification-evaluation-metrics Otherwise, I'd recommend checking out scikit-learn's classification metrics guide: https://scikit-learn.org/stable/modules/model_evaluation.html#classification-metrics

Hi Ben! This is definitely still relevant. I'm working through finishing off the first 3 modules (00, 01, 02) now. Notebook 00 just finished: * Book version - https://www.learnpytorch.io/00_pytorch_fundamentals/ *...

I'll be working through the rest of the notebooks over the next couple of months to get them publishable (to the book version + the course videos too).

Hey @loevlie, I'd love that, but I'd recommend running the materials in Google Colab (where the course is taught), that way you'll get access to a GPU as well. If...

thank you for this, will fix this week!

Hello @kelixirr, Can try running it with: `training=True` For example, `augmented_img = data_augmentation(img, training=True)` See more of an example here: https://github.com/mrdbourke/tensorflow-deep-learning/discussions/369#discussion-4003365