ML on the EDGE workshop for ML Prague 2019

ToDo

Environment setup

VS code

As IDE you can use any text editor of your choice. My recommendation would be VS Code. To install please follow VS Code setup

Python Environment

Most of the sample code is Python. To not to mess with any local Python environment, install Anaconda 3.x (miniconda) environment manager. To do that see miniconda

Once you have conda installed localy, you can create ready-to-go environment using YAML file by running following command.

conda env create -f keras_tf_cpu.yaml

Git client

Code samples can be found in this repo. To interact with, you have to have Git client. Installation guide can be found here.

Docker

Last but not least you should have Docker engine to be able to build, deploy and test final project. Docker community edition can be installed from here.