DeepRacer-for-Cloud v5.2.2 now available with new real-time training metrics

grafana panel

DeepRacer-for-Cloud provides a great way for developers to train DeepRacer models on EC2 (or other cloud compute instances, or even local servers) however many users have noticed that unlike the official AWS console it didn’t provide the kind of friendly web UI showing the current state of training.

While there are some fantastic log analysis notebooks available these can be a little tricky to set up and often require re-loading vast amounts of log data to get a refreshed view of the metrics.

Deepracer-for-Cloud v5.2.2 is now available and has added an exciting new feature which enables real-time metrics visualisation using Grafana.

Update – This new functionality has now also been added to DeepRacer-on-the-Spot.

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Exploring the World of AI and Autonomous Driving with DeepRacer: A Student’s Journey

Edison International is awarding Nicole Lee and high school seniors like her to help them follow their dreams in science, technology, engineering or math (STEM) and empower them to change the world.

I want to Introduce an article written by my former student, Nicole Lee, whose commitment to learning during the pandemic is truly exceptional. Like many students around the world, Nicole was forced to learn from home as schools shut their doors. However, she did not let this setback hinder her passion for knowledge. In fact, she used this time to focus on artificial intelligence (AI) and sought out various learning resources to expand her knowledge on the topic. Nicole’s dedication to her studies and her community is commendable. She demonstrates curiosity, initiative, and excellent problem-solving skills, always following through and completing tasks to the best of her abilities. In this article, Nicole shares her insights on the impact of AI on the future of various industries and how individuals can prepare themselves for the inevitable changes that are to come.

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Building a DeepRacer Track

Building a DeepRacer track can be a fun and rewarding experience. Here are some things to consider before getting started:

  • Figure out the amount of space that you have.
  • Figure out how often you are going to race.
  • Figure out if you want to build a DeepRacer signature track (tracks in the console).
  • Consider building a custom track for your surroundings.

Building a signature DeepRacer track takes up the most space and in most cases, you will not be able to dedicate that amount of real estate to keep it up day in and day out. Building your own track personalized to your space is an efficient option and usually, you can have it up year-round.

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