ML Visualization IDE vs AWS DeepRacer: What are the differences?

Developers describe ML Visualization IDE as "Make powerful, interactive machine learning visualizations". Debug your machine learning models in realtime with powerful, interactive visualizations Quickly log charts from your Python script, visualize your model development in live dashboards, and share interactive plots with your team, in just 2 minutes.. On the other hand, AWS DeepRacer is detailed as "The fastest way to get rolling with machine learning". Developers of all skill levels can get hands on with machine learning through a cloud based 3D racing simulator, fully autonomous 1/18th scale race car driven by reinforcement learning, and global racing league.

ML Visualization IDE and AWS DeepRacer can be primarily classified as "Machine Learning" tools.

Some of the features offered by ML Visualization IDE are:

• Powerful, interactive visualizations
• Quickly log charts
• Visualize your model development in live dashboards

On the other hand, AWS DeepRacer provides the following key features:

• A fun way to learn machine learning
• Master the basics with time-trial racing
• Expand your skills with head-to-head racing