Setup

Pre-requisites to learn

No pre-requisites are needed to watch and learn from the examples. It may be valuable to follow the examples, even if you are not able to run the code. While these examples are done using ‘Jupyter notebooks’ the concepts should be relevant to any deep learning framework (including GUI based ones) that expose parameters to address scale and sparsity.

Pre-requisites to run code

To run the examples you need a python environment, a dependency manager, and a means to run Jupyter notebooks. A ‘conda’ flavor and Visual Studio code is recomended

Conda

Instructions to install Conda can be found here

Visual Studio Code

Visual Studio Code can be installed from here

Visual Studio Code extensions

The following extensions are needed (you can search for them in the Extensions panel)

Python Extension and Python Debugger (choose the one from Microsoft)

Jupyter

Install the Jupyter extension to run notebooks.