The mnist_in_fhe.ipynb notebook shows how to use Concrete ML to train a custom neural network
on the MNIST data-set.
- First, create a virtual env and activate it:
python3.8 -m venv .venv
source .venv/bin/activate- Then, install required packages:
pip3 install -U pip wheel setuptools --ignore-installed
pip3 install -r requirements.txt --ignore-installed- Then, create a directory for check_points
mkdir -p .checkpoints