Dec 23rd, 2022

This content originally appeared on Modern Web Development with Chrome and was authored by Paul Kinlan

• Created Adding ActivityPub to your static site and also added a lot more functionality to my site. I can now show Likes, "Boosts" and replies.
  • See Interactions from around the fediverse with https://paul.kinlan.me/adding-activity-pub-to-your-static-site/ as an example
  • Added resources to ActivityPub to help people find the best information
• ML
  • Google Colab - Colab is a rather amazing tool, I've also built some dashboards in the past with it but for ML with Tensorflow it's worked really well.
  • I've started my first project to help me learn GitHub - PaulKinlan/button-and-link-scraper the goal is to check to see an anchor on a page looks like a button, and should possibly be a button. It's a small A11Y feature, but something that I think is hard to test just from the HTML.
    • I had a lot of fun building this even before I got to training any NN, for a list of URLs I find all the button-like elements and screenshot them, and I also find all the links too and screenshot them.
    • The NN is just using a simple image classifier, right now for anything that looks like a button it has a 100% accuracy, which I am sure is suspicious.
  • Lots of research
    • AI and Machine Learning For Coders: A Programmer's Guide to Artificial Intelligence: Amazon.co.uk: 9781492078197: Books by Laurence Moroney - I'm familiar with the basics of NN and this book got me back up to speed and the latest developments (Convolution Networks, Recurrent Networks etc). I was really good to get a sense about how image classification works, Image Segmentation, Text prediction- I had no clue but a lot of it is quite logical on retrospect.
      • This talk from IO complements the book - Machine Learning Zero to Hero (Google I/O'19) - YouTube
    • TensorFlow
      • TensorFlow basics  |  TensorFlow Core
      • Generate Artificial Faces with CelebA Progressive GAN Model  |  TensorFlow Hub
      • Image segmentation  |  TensorFlow Core
    • Transformers - GPT, BERT, Copilot and others use this and it seems like a promising area that I should at least know the basics of.
      • Started to do some research because I'd heard about it - this video was a good intro [Transfer learning and Transformer models (ML Tech Talks) - YouTube](Transfer learning and Transformer models (ML Tech Talks) - YouTube) and this book is great too https://www.amazon.co.uk/gp/product/1098103246/ref=ppx_yo_dt_b_asin_title_o02_s00?ie=UTF8&psc=1 - both give a good overview, personally I found https://arxiv.org/abs/1706.03762 a bit over my head.
    • Other bits:
      • Grokking Deep Reinforcement Learning: Amazon.co.uk: Morales, Miguel: 9781617295454: Books
      • Jay Alammar – Visualizing machine learning one concept at a time. < Has a good post about how Stable Diffusion works.

This content originally appeared on Modern Web Development with Chrome and was authored by Paul Kinlan

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