Hands-On Deep Learning for Images with TensorFlow

The machine learning Docker file

Now, let's dive into preparing a machine learning Docker file. In this section, we will take a look at cloning the source files, the base images that are needed for Docker, installing additional required packages, exposing a volume so that you can share your work, and exposing ports so that you'll be able to see Jupyter Notebooks, which is the tool that we'll be using to explore machine learning.

Now, you'll need to get the source code that goes with these sections. Head on over to https://github.com/wballard/kerasvideo/tree/2018, where you can quickly clone the repository. Here, we're just using GitHub for Windows as a relatively quick way in order to make that repository cloned, but you can use Git in any ...