This tutorial contains four Jupyter Notebook
- Linear curve fitting (Python) <Notebook> <Colab>
- Cross validation (Python) <Notebook> <Colab>
- Linear curve fitting (TensorFlow) <Notebook> <Colab>
- Logistic data regression (PyTorch) <Notebook> <Colab>
All the tutorials run directly on Google Colab (by clicking the links above). Get started with [Runtime] -> [Run all]. Alternatively, download the ipynb files, then upload them to Colab.
Running these on Jupyter notebook requires a number of dependencies to be installed locally, including NumPy, TensorFlow and PyTorch. Anaconda is recommended for managing these required packages. Following the instruction in Development Tools tested for this tutorial.
Performance varies.
