FAQ

How do you analyze DeepRacer logs?

How do you analyze DeepRacer logs?

To prepare the data that we want to analyze, we have to download our model training logs from the AWS DeepRacer console.

  1. On the AWS DeepRacer console, under Reinforcement learning, choose Your models.
  2. Choose the model to analyze.
  3. In the Training section, under Resources, choose Download Logs.

What is AWS DeepRacer challenge?

Welcome to the world’s first global autonomous racing league, driven by reinforcement learning. It’s time to race for prizes, glory, and a chance to advance to compete for the AWS DeepRacer Championship Cup. Submit your models and compete from anywhere in the world!

How do you use AWS DeepRacer?

Train Your First AWS DeepRacer Model

  1. Train a reinforcement learning model using the AWS DeepRacer console.
  2. Specify the model name and environment.
  3. Choose a race type and training algorithm.
  4. Define action space.
  5. Choose a virtual car.
  6. Customize your reward function.
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What is AWS RoboMaker?

AWS RoboMaker is a cloud-based simulation service that enables robotics developers to run, scale, and automate simulation without managing any infrastructure.

How do you set up AWS DeepRacer?

Choose a Wi-Fi Network for Your AWS DeepRacer Vehicle

  1. Connect your laptop or desktop computer to your vehicle.
  2. Set up the vehicle’s Wi-Fi connection.
  3. Update the vehicle’s software.
  4. Get the vehicle’s IP address.
  5. Test drive the vehicle.

How do you train a DeepRacer model?

To train a reinforcement learning model, you can use the AWS DeepRacer console. In the console, create a training job, choose a supported framework and an available algorithm, add a reward function, and configure training settings. You can also watch training proceed in a simulator.

Is AWS RoboMaker free?

AWS RoboMaker cloud extensions for ROS are free and released under the Apache Software License 2.0, a permissive license with limited restrictions on reuse. You only incur standard AWS service charges when your ROS application utilizes AWS services through these cloud extensions.

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How do I connect my DeepRacer to WIFI?

To connect an AWS DeepRacer vehicle to a Wi-Fi network using a USB flash drive

  1. Plug the USB flash drive into your computer.
  2. Save wifi-creds.
  3. If wifi-creds.
  4. In between the single quotation marks at the bottom of the file, enter the name (SSID) and password of the Wi-Fi network that you want to use.

How can I improve my AWS DeepRacer?

Take aways

  1. play around with the reward function and use the simulation movie to judge how it affects your car’s behavior.
  2. train the model on different racing courses to get a stable behavior.
  3. more complex reward functions and more movement possibilities set in the DeepRacer UI increase training time.

How long does it take to train DeepRacer?

Set the maximum time to 45 to set the training maximum time to 45 minutes for your first model, with the recommended reward function, training algorithm and hyperparameters as above.

What is the AWS deepracer vehicle?

The AWS DeepRacer vehicle is a Wi-Fi enabled, physical vehicle that can drive itself on a physical track by using a reinforcement learning model. You can manually control the vehicle, or deploy a model for the vehicle to drive autonomously. The autonomous mode runs inference on the vehicle’s compute module.

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How do I use SageMaker with AWS deepracer?

Choose a simulated track to train and evaluate a model by using SageMaker and AWS RoboMaker. Clone a trained model to improve training by tuning hyperparameters to optimize your model’s performance. Download a trained model for deployment to your AWS DeepRacer vehicle so it can drive in a physical environment.

What is the AWS deepracer League League?

The AWS DeepRacer League League is an important component of AWS DeepRacer. The AWS DeepRacer League is intended to foster communal learning and collaborative exploration through sharing and competition.

What is deepracer and how does it work?

DeepRacer was built specifically as a learning product for people to learn about machine learning. 3 components play an important role in making its mission a success: the virtual training environment, the physical car, and the league. If you want to learn more about DeepRacer, feel free to visit the official website.