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Google's generative AI assistance trained on this repo #1011

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68 changes: 37 additions & 31 deletions README.md
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Expand Up @@ -45,7 +45,7 @@ Welcome to the [Zero to Mastery Learn PyTorch for Deep Learning course](https://

All materials completed and videos published on Zero to Mastery!

See the project page for work-in-progress board - https://github.com/users/mrdbourke/projects/1
See the project page for work-in-progress board - https://github.com/users/mrdbourke/projects/1

* **Total video count:** 321
* **Done skeleton code for:** 00, 01, 02, 03, 04, 05, 06, 07, 08, 09
Expand Down Expand Up @@ -107,7 +107,7 @@ We start with the barebone fundamentals of PyTorch and machine learning, so even

Then we’ll explore more advanced areas including PyTorch neural network classification, PyTorch workflows, computer vision, custom datasets, experiment tracking, model deployment, and my personal favourite: transfer learning, a powerful technique for taking what one machine learning model has learned on another problem and applying it to your own!

Along the way, you’ll build three milestone projects surrounding an overarching project called FoodVision, a neural network computer vision model to classify images of food.
Along the way, you’ll build three milestone projects surrounding an overarching project called FoodVision, a neural network computer vision model to classify images of food.

These milestone projects will help you practice using PyTorch to cover important machine learning concepts and create a portfolio you can show employers and say "here's what I've done".

Expand All @@ -119,11 +119,17 @@ The course uses a free tool called Google Colab. If you've got no experience wit

To start:

1. Click on one of the notebook or section links above like "[00. PyTorch Fundamentals](https://www.learnpytorch.io/00_pytorch_fundamentals/)".
1. Click on one of the notebook or section links above like "[00. PyTorch Fundamentals](https://www.learnpytorch.io/00_pytorch_fundamentals/)".
2. Click the "Open in Colab" button up the top.
3. Press SHIFT+Enter a few times and see what happens.

### My question isn't answered
#### optional setup
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Explanation is very vague and It defeats the purpose of learning.
However it is good for experienced person.

Are you talking about this ?
image

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Hey there! Thank you @MrAmbiG , but I think @pritesh2000 is right.

I'd suggest practicing writing the code from the course yourself first and seeing what it does, then using Gen AI later on if you find it helps you a bit.

But it's always good to try something yourself first because that's where you'll get a good feel for what works and what doesn't.

AI is very helpful but sometimes if it goes a bit too fast and creates errors you aren't aware of, it may require a bit of backtracking.

I try to write things myself first at least once before asking AI for help.

Optional AI assistance for those who might have to pause/unpause video multiple times due to their lack of speed typing. This is a feature of Google Colab which helps you auto complete code from this repository.
- In the colab.research.google.com, while using the cells, you will see a prompt to `[ ] Start coding or generate with AI`. Click generate with AI. This will help you to write the code faster.
- Just above the completed code, you shall also see that the suggestions are directly from This repository. You shall see the following in fine print.
`Suggested code may be subject to a license | Alparslan-Tamer/pytorch-deep-learning`

### My question isn't answered

Please leave a [discussion](https://github.com/mrdbourke/pytorch-deep-learning/discussions) or send me an email directly: daniel (at) mrdbourke (dot) com.

Expand All @@ -135,9 +141,9 @@ Almost daily updates of what's happening.
* 13 Apr 2023 - update PyTorch 2.0 notebook
* 30 Mar 2023 - update PyTorch 2.0 notebook with more info/clean code
* 23 Mar 2023 - upgrade PyTorch 2.0 tutorial with annotations and images
* 13 Mar 2023 - add starter code for PyTorch 2.0 tutorial
* 18 Nov 2022 - add a reference for 3 most common errors in PyTorch + links to course sections for more: https://www.learnpytorch.io/pytorch_most_common_errors/
* 9 Nov 2022 - add PyTorch cheatsheet for a very quick overview of the main features of PyTorch + links to course sections: https://www.learnpytorch.io/pytorch_cheatsheet/
* 13 Mar 2023 - add starter code for PyTorch 2.0 tutorial
* 18 Nov 2022 - add a reference for 3 most common errors in PyTorch + links to course sections for more: https://www.learnpytorch.io/pytorch_most_common_errors/
* 9 Nov 2022 - add PyTorch cheatsheet for a very quick overview of the main features of PyTorch + links to course sections: https://www.learnpytorch.io/pytorch_cheatsheet/
* 9 Nov 2022 - full course materials (300+ videos) are now live on Udemy! You can sign up here: https://www.udemy.com/course/pytorch-for-deep-learning/?couponCode=ZTMGOODIES7 (launch deal code valid for 3-4 days from this line)
* 4 Nov 2022 - add a notebook for PyTorch Cheatsheet in `extras/` (a simple overview of many of the most important functionality of PyTorch)
* 2 Oct 2022 - all videos for section 08 and 09 published (100+ videos for the last two sections)!
Expand All @@ -150,16 +156,16 @@ Almost daily updates of what's happening.
* 24 Aug 2022 - add annotations to 09, main takeaways, exercises and extra-curriculum done
* 23 Aug 2022 - add annotations to 09, add plenty of images/slides
* 22 Aug 2022 - add annotations to 09, start working on slides/images
* 20 Aug 2022 - add annotations to 09
* 20 Aug 2022 - add annotations to 09
* 19 Aug 2022 - add annotations to 09, check out the awesome demos!
* 18 Aug 2022 - add annotations to 09
* 18 Aug 2022 - add annotations to 09
* 17 Aug 2022 - add annotations to 09
* 16 Aug 2022 - add annotations to 09
* 15 Aug 2022 - add annotations to 09
* 13 Aug 2022 - add annotations to 09
* 12 Aug 2022 - add demo files for notebook 09 to `demos/`, start annotating notebook 09 with explainer text
* 11 Aug 2022 - finish skeleton code for notebook 09, course finishes deploying 2x models, one for FoodVision Mini & one for (secret)
* 10 Aug 2022 - add section for PyTorch Extra Resources (places to learn more about PyTorch/deep learning): https://www.learnpytorch.io/pytorch_extra_resources/
* 10 Aug 2022 - add section for PyTorch Extra Resources (places to learn more about PyTorch/deep learning): https://www.learnpytorch.io/pytorch_extra_resources/
* 09 Aug 2022 - add more skeleton code to notebook 09
* 08 Aug 2022 - create draft notebook for 09, end goal to deploy FoodVision Mini model and make it publically accessible
* 05 Aug 2022 - recorded 11 videos for 08, total videos: 263, section 08 videos finished!... the biggest section so far
Expand All @@ -171,19 +177,19 @@ Almost daily updates of what's happening.
* 28 July 2022 - add slides for 08
* 27 July 2022 - cleanup much of 08, start on slides for 08, exercises and extra-curriculum next
* 26 July 2022 - add annotations and images for 08
* 25 July 2022 - add annotations for 08
* 24 July 2022 - launched first half of course (notebooks 00-04) in a single video (25+ hours!!!) on YouTube: https://youtu.be/Z_ikDlimN6A
* 25 July 2022 - add annotations for 08
* 24 July 2022 - launched first half of course (notebooks 00-04) in a single video (25+ hours!!!) on YouTube: https://youtu.be/Z_ikDlimN6A
* 21 July 2022 - add annotations and images for 08
* 20 July 2022 - add annotations and images for 08, getting so close! this is an epic section
* 20 July 2022 - add annotations and images for 08, getting so close! this is an epic section
* 19 July 2022 - add annotations and images for 08
* 15 July 2022 - add annotations and images for 08
* 15 July 2022 - add annotations and images for 08
* 14 July 2022 - add annotations for 08
* 12 July 2022 - add annotations for 08, woo woo this is bigggg section!
* 11 July 2022 - add annotations for 08
* 12 July 2022 - add annotations for 08, woo woo this is bigggg section!
* 11 July 2022 - add annotations for 08
* 9 July 2022 - add annotations for 08
* 8 July 2022 - add a bunch of annotations to 08
* 6 July 2022 - course launched on ZTM Academy with videos for sections 00-07! 🚀 - https://dbourke.link/ZTMPyTorch
* 1 July 2022 - add annotations and images for 08
* 6 July 2022 - course launched on ZTM Academy with videos for sections 00-07! 🚀 - https://dbourke.link/ZTMPyTorch
* 1 July 2022 - add annotations and images for 08
* 30 June 2022 - add annotations for 08
* 28 June 2022 - recorded 11 videos for section 07, total video count 213, all videos for section 07 complete!
* 27 June 2022 - recorded 11 videos for section 07, total video count 202
Expand All @@ -198,19 +204,19 @@ Almost daily updates of what's happening.
* 08 June 2022 - adapt 06 v2 for `torchvision` v0.13 (this will replace 06 v1 when `torchvision=0.13` is released)
* 07 June 2022 - create notebook 06 v2 for upcoming `torchvision` v0.13 update (new transfer learning methods)
* 04 June 2022 - add annotations for 07
* 03 June 2022 - huuuuuuge amount of annotations added to 07
* 03 June 2022 - huuuuuuge amount of annotations added to 07
* 31 May 2022 - add a bunch of annotations for 07, make code runnable end-to-end
* 30 May 2022 - record 4 videos for 06, finished section 06, onto section 07, total videos 186
* 28 May 2022 - record 10 videos for 06, total videos 182
* 24 May 2022 - add solutions and exercises for 06
* 23 May 2022 - finished annotations and images for 06, time to do exercises and solutions
* 23 May 2022 - finished annotations and images for 06, time to do exercises and solutions
* 22 May 2202 - add plenty of images to 06
* 18 May 2022 - add plenty of annotations to 06
* 17 May 2022 - added a bunch of annotations for section 06
* 16 May 2022 - recorded 10 videos for section 05, finish videos for section 05 ✅
* 12 May 2022 - added exercises and solutions for 05
* 11 May 2022 - clean up part 1 and part 2 notebooks for 05, make slides for 05, start on exercises and solutions for 05
* 10 May 2022 - huuuuge updates to the 05 section, see the website, it looks pretty: https://www.learnpytorch.io/05_pytorch_going_modular/
* 10 May 2022 - huuuuge updates to the 05 section, see the website, it looks pretty: https://www.learnpytorch.io/05_pytorch_going_modular/
* 09 May 2022 - add a bunch of materials for 05, cleanup docs
* 08 May 2022 - add a bunch of materials for 05
* 06 May 2022 - continue making materials for 05
Expand All @@ -220,7 +226,7 @@ Almost daily updates of what's happening.
* 26 Apr 2022 - recorded 10 videos for 04
* 25 Apr 2022 - recorded 11 videos for 04
* 24 Apr 2022 - prepared slides for 04
* 23 Apr 2022 - recorded 6 videos for 03, finished videos for 03, now to 04
* 23 Apr 2022 - recorded 6 videos for 03, finished videos for 03, now to 04
* 22 Apr 2022 - recorded 5 videos for 03
* 21 Apr 2022 - recorded 9 videos for 03
* 20 Apr 2022 - recorded 3 videos for 03
Expand All @@ -242,7 +248,7 @@ Almost daily updates of what's happening.
* 22 Mar 2022 - add images for 03
* 20 Mar 2022 - add more annotations for 03
* 18 Mar 2022 - add more annotations for 03
* 17 Mar 2022 - add more annotations for 03
* 17 Mar 2022 - add more annotations for 03
* 16 Mar 2022 - add more annotations for 03
* 15 Mar 2022 - add more annotations for 03
* 14 Mar 2022 - start adding annotations for notebook 03, see the work in progress here: https://www.learnpytorch.io/03_pytorch_computer_vision/
Expand All @@ -256,26 +262,26 @@ Almost daily updates of what's happening.
* 4 Mar 2022 - recorded 10 videos for section 01
* 20 Feb 2022 - recorded 8 videos for section 00, finished section, now onto 01
* 18 Feb 2022 - recorded 13 videos for section 00
* 17 Feb 2022 - recorded 11 videos for section 00
* 16 Feb 2022 - added setup guide
* 17 Feb 2022 - recorded 11 videos for section 00
* 16 Feb 2022 - added setup guide
* 12 Feb 2022 - tidy up README with table of course materials, finish images and slides for 01
* 10 Feb 2022 - finished slides and images for 00, notebook is ready for publishing: https://www.learnpytorch.io/00_pytorch_fundamentals/
* 01-07 Feb 2022 - add annotations for 02, finished, still need images, going to work on exercises/solutions today
* 01-07 Feb 2022 - add annotations for 02, finished, still need images, going to work on exercises/solutions today
* 31 Jan 2022 - start adding annotations for 02
* 28 Jan 2022 - add exercies and solutions for 01
* 26 Jan 2022 - lots more annotations to 01, should be finished tomorrow, will do exercises + solutions then too
* 24 Jan 2022 - add a bunch of annotations to 01
* 21 Jan 2022 - start adding annotations for 01
* 21 Jan 2022 - start adding annotations for 01
* 20 Jan 2022 - finish annotations for 00 (still need to add images), add exercises and solutions for 00
* 19 Jan 2022 - add more annotations for 00
* 18 Jan 2022 - add more annotations for 00
* 17 Jan 2022 - back from holidays, adding more annotations to 00
* 17 Jan 2022 - back from holidays, adding more annotations to 00
* 10 Dec 2021 - start adding annoations for 00
* 9 Dec 2021 - Created a website for the course ([learnpytorch.io](https://learnpytorch.io)) you'll see updates posted there as development continues
* 9 Dec 2021 - Created a website for the course ([learnpytorch.io](https://learnpytorch.io)) you'll see updates posted there as development continues
* 8 Dec 2021 - Clean up notebook 07, starting to go back through code and add annotations
* 26 Nov 2021 - Finish skeleton code for 07, added four different experiments, need to clean up and make more straightforward
* 25 Nov 2021 - clean code for 06, add skeleton code for 07 (experiment tracking)
* 24 Nov 2021 - Update 04, 05, 06 notebooks for easier digestion and learning, each section should cover a max of 3 big ideas, 05 is now dedicated to turning notebook code into modular code
* 24 Nov 2021 - Update 04, 05, 06 notebooks for easier digestion and learning, each section should cover a max of 3 big ideas, 05 is now dedicated to turning notebook code into modular code
* 22 Nov 2021 - Update 04 train and test functions to make more straightforward
* 19 Nov 2021 - Added 05 (transfer learning) notebook, update custom data loading code in 04
* 18 Nov 2021 - Updated vision code for 03 and added custom dataset loading code in 04
Expand All @@ -289,5 +295,5 @@ Almost daily updates of what's happening.
* 27 Oct 2021 - add a bunch of code for 02, going to finish tomorrow/by end of week
* 26 Oct 2021 - update 00, 01, 02 with outline/code, skeleton code for 00 & 01 done, 02 next
* 23, 24 Oct 2021 - update 00 and 01 notebooks with more outline/code
* 20 Oct 2021 - add v0 outlines for 01 and 02, add rough outline of course to README, this course will focus on less but better
* 20 Oct 2021 - add v0 outlines for 01 and 02, add rough outline of course to README, this course will focus on less but better
* 19 Oct 2021 - Start repo 🔥, add fundamentals notebook draft v0