Code and demo for my Tools in Action about Tensorflow Lite for IoT
Slides with instruction are available on speakerdeck or in this repo
python3 --version
pip3 --version
virtualenv --version
virtualenv --system-site-packages -p python3 ./venv
source ./venv/bin/activate
pip install --upgrade pip
pip install --upgrade tensorflow=2.0
python -c "import tensorflow as tf;print(tf.reduce_sum(tf.random.normal([1000, 1000])))"
The notebooks used during the talk can be found there: