Hands-On ROS for Robotics Programming

TensorFlow backend

First, create a dedicated conda environment called tensorflow. It consists of a virtual space that lets users isolate the set of Python packages you will use for a specific project. This has the advantage of making it straightforward to replicate the environment in another machine with minimal effort:

1. Let's run the following commands:

$ conda create -n tensorflow pip python=2.7$ conda activate tensorflow

The second line produces the activation and binds the next installations to this tensorflow environment.

Conda enviroment are isolated buckets that contain the python modules you need for a specific project. For example, for tensorflow environment, every Python module you install with either conda install or pip ...