Hi Makers!
We've got some Jupyter-Notebooks for you in this repo!😊 They should serve as an inspiration / starting point for your own apps. For that purpose, the notebooks cover quite some gound: Theory, ML-tools & -technologies, notebook-UIs etc..
2 Things to keep in mind:
- Using this material is optional. Feel free to go freestyle on your apps right from the start!
- Some notebook outputs don't render as they should when inspected on GitHub. Downloading the notebook-files and inspecting them locally should give you the output in beautifully rendered form!😊
Content:
- Intro (Notebook 1): Some Theory on transfer learning || General info on notebooks
- NLP (Notebook 2): Information extraction || Text classification || Text generation || Notebook-UIs
- Computer Vision (Notebook 3): Image classification || Semantic segmentation || Object detection
- Regression (Notebook 4): Decision trees & Random forests