Docker Install Raspbian

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Docker

I had great use of Docker even in my personal RPI projects, as Python modules can be difficult to get compiled and in a usable state on raw Raspbian. In projects at work I personally only recommend Docker when we need Hyper-V isolation or K8s is hosting the product (these are.NET projects, which work really well when published as self. After you installed Docker on your machine, you can use them via: $ docker pull mxnet/python:gpu # Use sudo if you skip Step 2. You can list docker images to see if mxnet/python docker image pull was successful. $ docker images # Use sudo if you skip Step 2 REPOSITORY TAG IMAGE ID CREATED SIZE mxnet/python gpu 493b2683c269 3 weeks ago 4.77 GB.

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Install TensorFlow 2

TensorFlow is tested and supported on the following 64-bit systems:

  • Python 3.6–3.8
  • Ubuntu 16.04 or later
  • Windows 7 or later (with C++ redistributable)
  • macOS 10.12.6 (Sierra) or later (no GPU support)
  • Raspbian 9.0 or later

Install Docker Raspbian Buster Lite

Google Colab: An easy way to learn and use TensorFlow

No install necessary—run the TensorFlow tutorials directly in the browser with Colaboratory, a Google research project created to help disseminate machine learning education and research. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. Read the blog post.

Web developers

TensorFlow.js is a WebGL accelerated, JavaScript library to train and deploy ML models in the browser and for Node.js.

Mobile developers

Docker Install Raspbian Buster

Docker Install RaspbianDocker Install Raspbian

Install Docker Raspbian Stretch Lite

TensorFlow Lite is a lightweight solution for mobile and embedded devices.