Lesson 1 | Practical Deep Learning for Coders -- Nürnberg

In the first lesson we went through a bird or not a bird classifier, course overview, and walked through some of the features of the jupyter notebooks.

Slides for lesson 1

Lesson 1 video recordings:

Homework: tweak the bird or not bird classifier to create your own project or take inspiration from chapter 1 of the book which is available on gradio. You can start from the pet classifier in the book the text before that is not super useful.

To setup Paperspace gradio notebook environment

The fastai documentation is an excellent place to start to see how different parts of fastai works

Download the code from Bird or not bird Kaggle notebook and upload it to paperspace to create your own model

If you have limited time please focus on tweaking the model for your own application.

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