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docs/blog/index.md

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Contact us
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via email (`team` at `fullstackdeeplearning` dot `com`),
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[via Twitter DM](https://twitter.com/),
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or message `charles_irl` [on Discord](https://fsdl.me/join-discord)
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or message `charles_irl` [on Discord](https://discord.gg/crkBBSQ9p6)
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if you're interested in contributing!
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{{ blog_content }}

docs/course/2022/cohort.md

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## It's project time! How do I access my free GPUs?
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Check out the instructions
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[here](https://fsdl.me/2022-get-gpus).
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[here](https://gist.github.com/charlesfrye/e27adfc47129a4c209f6dfcb14467fba).
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## How do I know if I'm fully registered?
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## How do I control my notifications in Discord?
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To stay apprised of updates without getting overwhelmed, we suggest these notification settings:
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![notification settings](https://fsdl.me/notification-settings)
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![notification settings](https://i.imgur.com/nFNicSD.png)
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You can find them here in the Discord web client:
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![notification-menu](https://fsdl.me/notification-menu)
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![notification-menu](https://i.imgur.com/CF1N80A.gif)
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#### Only course staff can use the remaining notification stream, @mentions.
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docs/course/2022/lab-0-overview/index.md

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</div>
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<div align="center">
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<a href="https://fsdl.me/2022-overview"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240> </a>
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<a href="https://colab.research.google.com/github/full-stack-deep-learning/fsdl-text-recognizer-2022-labs/blob/main/overview.ipynb"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240> </a>
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</div>
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## What are these labs for?
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click the badge below to open an interactive Jupyter notebook on Google Colab:
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<div align="center">
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<a href="https://fsdl.me/2022-overview"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240> </a>
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<a href="https://colab.research.google.com/github/full-stack-deep-learning/fsdl-text-recognizer-2022-labs/blob/main/overview.ipynb"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240> </a>
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</div>
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## Running the labs
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[Lab 4 on experiment management](https://fullstackdeeplearning.com/course/2022/lab-4-experiment-management/).
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<div align="center">
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<a href="https://fsdl.me/lab00-colab"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240></a>
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<a href="https://colab.research.google.com/github/full-stack-deep-learning/fsdl-text-recognizer-2022-labs/blob/main/overview.ipynb"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240></a>
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</div>
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You can read more
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either locally or in the cloud,
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you can also run the labs there.
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The video above and text instructions
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[here](http://fsdl.me/2022-local-setup)
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[here](https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs/tree/main/setup#Local)
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should be enough to get you going.
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!!! info "Don't get stuck on setup!"
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to the material you are really trying to learn and getting stuck in an installation quagmire,
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just run the labs on Colab so you can get back to learning about machine learning!
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[yt-logo]: https://fsdl.me/yt-logo-badge
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[yt-logo]: https://fsdl-public-assets.s3.us-west-2.amazonaws.com/yt-logo-badge.svg
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[open-in-colab]: https://colab.research.google.com/assets/colab-badge.svg

docs/course/2022/lab-4-experiment-management/index.md

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</div>
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<div align="center">
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<a href="https://fsdl.me/lab04-colab"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240></a>
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<a href="https://colab.research.google.com/github/full-stack-deep-learning/fsdl-text-recognizer-2022-labs/blob/main/lab04/notebooks/lab04_experiments.ipynb"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240></a>
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</div>
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In this lab,
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If you're already basically familiar with training neural networks
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in any framework, you really only need to review
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[Lab 02a](https://fsdl.me/2022-lab-02-video),
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[Lab 02a](https://www.youtube.com/watch?v=6fSd8RdtDBs&list=PL1T8fO7ArWleMMI8KPJ_5D5XSlovTW_Ur&index=4&ab_channel=FullStackDeepLearning),
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on using PyTorch Lightning.

docs/course/2022/lab-5-troubleshooting-and-testing/index.md

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</div>
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<div align="center">
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<a href="https://fsdl.me/lab05-colab"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240></a>
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<a href="https://colab.research.google.com/github/full-stack-deep-learning/fsdl-text-recognizer-2022-labs/blob/main/lab05/notebooks/lab05_troubleshooting.ipynb"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240></a>
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</div>
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In this lab,

docs/course/2022/lab-6-data-annotation/index.md

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</div>
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<div align="center">
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<a href="https://fsdl.me/lab06-colab"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240></a>
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<a href="https://colab.research.google.com/github/full-stack-deep-learning/fsdl-text-recognizer-2022-labs/blob/main/lab06/notebooks/lab06_data.ipynb"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240></a>
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</div>
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In this lab,

docs/course/2022/lab-7-web-deployment/index.md

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</div>
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<div align="center">
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<a href="https://fsdl.me/lab07-colab"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240></a>
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<a href="https://colab.research.google.com/github/full-stack-deep-learning/fsdl-text-recognizer-2022-labs/blob/main/lab07/notebooks/lab07_deployment.ipynb"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240></a>
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</div>
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In this lab,

docs/course/2022/lab-8-model-monitoring/index.md

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</div>
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<div align="center">
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<a href="https://fsdl.me/lab08-colab"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240></a>
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<a href="https://colab.research.google.com/github/full-stack-deep-learning/fsdl-text-recognizer-2022-labs/blob/main/lab08/notebooks/lab08_monitoring.ipynb"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240></a>
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In this lab,

docs/course/2022/labs-1-3-cnns-transformers-pytorch-lightning/index.md

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| Lab | Colab | Video |
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| :-------------------------------------------------------- | :----------------------------------------------: | :---------------------------------------------: |
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| **Lab 01: Deep Neural Networks in PyTorch** | [![open-in-colab]](https://fsdl.me/lab01-colab) | [![yt-logo]](https://fsdl.me/2022-lab-01-video) |
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| **Lab 02a: PyTorch Lightning** | [![open-in-colab]](https://fsdl.me/lab02a-colab) | [![yt-logo]](https://fsdl.me/2022-lab-02-video) |
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| **Lab 02b: Training a CNN on Synthetic Handwriting Data** | [![open-in-colab]](https://fsdl.me/lab02b-colab) | [![yt-logo]](https://fsdl.me/2022-lab-02-video) |
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| **Lab 03: Transformers and Paragraphs** | [![open-in-colab]](https://fsdl.me/lab03-colab) | [![yt-logo]](https://fsdl.me/2022-lab-03-video) |
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| **Lab 01: Deep Neural Networks in PyTorch** | [![open-in-colab]](https://colab.research.google.com/github/full-stack-deep-learning/fsdl-text-recognizer-2022-labs/blob/main/lab01/notebooks/lab01_pytorch.ipynb) | [![yt-logo]](https://www.youtube.com/watch?v=9w8CVuHUk8U&list=PL1T8fO7ArWleMMI8KPJ_5D5XSlovTW_Ur&index=3&ab_channel=FullStackDeepLearning) |
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| **Lab 02a: PyTorch Lightning** | [![open-in-colab]](https://colab.research.google.com/github/full-stack-deep-learning/fsdl-text-recognizer-2022-labs/blob/main/lab02/notebooks/lab02a_lightning.ipynb) | [![yt-logo]](https://www.youtube.com/watch?v=6fSd8RdtDBs&list=PL1T8fO7ArWleMMI8KPJ_5D5XSlovTW_Ur&index=4&ab_channel=FullStackDeepLearning) |
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| **Lab 02b: Training a CNN on Synthetic Handwriting Data** | [![open-in-colab]](https://colab.research.google.com/github/full-stack-deep-learning/fsdl-text-recognizer-2022-labs/blob/main/lab02/notebooks/lab02b_cnn.ipynb) | [![yt-logo]](https://www.youtube.com/watch?v=6fSd8RdtDBs&list=PL1T8fO7ArWleMMI8KPJ_5D5XSlovTW_Ur&index=4&ab_channel=FullStackDeepLearning) |
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| **Lab 03: Transformers and Paragraphs** | [![open-in-colab]](https://colab.research.google.com/github/full-stack-deep-learning/fsdl-text-recognizer-2022-labs/blob/main/lab03/notebooks/lab03_transformers.ipynb) | [![yt-logo]](https://youtu.be/lsWLgQyaeik?list=PL1T8fO7ArWleMMI8KPJ_5D5XSlovTW_Ur) |
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## Running the labs
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The badge below opens Lab 01, on PyTorch.
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<a href="https://fsdl.me/lab01-colab"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240></a>
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<a href="https://colab.research.google.com/github/full-stack-deep-learning/fsdl-text-recognizer-2022-labs/blob/main/lab01/notebooks/lab01_pytorch.ipynb"> <img src=https://colab.research.google.com/assets/colab-badge.svg width=240></a>
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You can read more
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either locally or in the cloud,
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you can also run the labs there.
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The video above and text instructions
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[here](http://fsdl.me/2022-local-setup)
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[here](https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs/tree/main/setup#Local)
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should be enough to get you going.
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!!! info "Don't get stuck on setup!"
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to the material you are really trying to learn and getting stuck in an installation quagmire,
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just run the labs on Colab so you can get back to learning about machine learning!
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[yt-logo]: https://fsdl.me/yt-logo-badge
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[yt-logo]: https://fsdl-public-assets.s3.us-west-2.amazonaws.com/yt-logo-badge.svg
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[open-in-colab]: https://colab.research.google.com/assets/colab-badge.svg

docs/course/2022/lecture-3-troubleshooting-and-testing/index.md

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Lecture by [Charles Frye](https://twitter.com/charles_irl).<br />
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Notes by [James Le](https://twitter.com/le_james94) and [Vishnu Rachakonda](https://www.linkedin.com/in/vrachakonda/).<br />
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Published August 22, 2022.
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[Download slides](https://fsdl.me/2022-lecture-03-slides).
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[Download slides](https://drive.google.com/file/d/13UAHw1A7hM-O0jYGdGStN5gFCUb5XzLv/view?usp=sharing).
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## 1 - Testing Software
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