How is everyone tracking over the last week? Maybe a little bit of a weekly update from everyone here is in order?? If we can share our learnings here it may provide a succinct summary for everyone when read together?
For my part most of my work was on the production side and not too much training on my own datasets yet. One artifact of my progress includes a working app hosted on github pages that predicts pet breeds. It’s not the prettiest or customised but it’s a base on which I can post future models.
Other learnings
- Customising default directories on Google Colab so trained models are saved to your Google Drive rather than the transient cloud instance.
- I made a tiny tweak to Jeremy’s Kaggle NLP notebook changing the Transformer model and broke the model trainer. Thanks to a suggestion from the forum I got the model working using a different starting point. You can see my forum post and kaggle solution to find out more.
Now it’s over to you.
“If you want to go fast, go alone. If you want to go far, go together”. African proverb