- Getting started with Machine Learning
- Half a day or a full day workshop
- Getting started with TensorFlow
- Half a day or a full day workshop
Python 3.x is used for this workshop.
There are two options for working with notebooks in this repository:
- Google Colab (online)
- Local Python environment (offline)
Note that irrespective of the options above, the dependencies can be installed like this:
$> python -m pip install -r requirements.txt
or individually:
$> python -m pip install tensorflow
Google Colab is online Jupyter notebook-like environment that is pre-configured with Python and many popular data science and ML libraries. It also comes with GPU support.
Here are a few helpful resources: https://colab.research.google.com/notebooks/intro.ipynb#scrollTo=-Rh3-Vt9Nev9.
While its fine to set up Python and the project's dependencies individually, the Anaconda environment is better suited to getting started quickly & packages many common dependencies and tools.
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Installation: https://docs.anaconda.com/anaconda/install/
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User guide: https://docs.anaconda.com/anaconda/user-guide/
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Tutorials to get familiar with the environment: https://docs.anaconda.com/anaconda/navigator/tutorials/