TensorFlow.js 2020 Review
Google's TensorFlow.js team want to hear how you are using machine learning with JavaScript / Node.js. Please take the survey to help shape the future of TensorFlow.js - a JavaScript library for training and deploying machine learning models in the browser and in Node.js. Your responses will be used for product research and usability improvements. Thank you for taking the time to fill this out :-)

You must be 18 years or older to complete the survey.
About you
How do you identify yourself in your career? *
How experienced are you in Machine Learning? *
Totally new to this
I have written a book on the subject
How you use TensorFlow.js
How do you most frequently use / want to use TensorFlow.js? Select all that apply. *
Required
How do you typically use machine learning models with TensorFlow.js? You can pick more than one. If you do not currently use TensorFlow.js - pick how you may use it if you could. *
Required
What was the result of using TensorFlow.js? Check all that apply. *
Required
If you did not use TensorFlow.js in production - why not?
Your answer
About TensorFlow.js
Which of the following should we prioritize?
Low Priority
No change needed
High Priority
Unsure
Browser Execution Speed
Run larger models that use more memory
Provide more pre-trained models
Better tooling / APIs for training models and transfer learning on custom data
Support more low level operations so more Python TensorFlow models can run in TensorFlow.js
More tutorials / example code
API Documentation
Browser support (ML specific dev tools, caching popular models etc)
This is our website - https://www.tensorflow.org/js
How do you rate our website / documentation for getting started? *
Hard to find what I need
Easy to find what I need
Care to elaborate on your thoughts for our website / documentation? (Optional)
Your answer
What do you like most about TensorFlow.js?
Your answer
What do you like least about TensorFlow.js? If you do not use it currently, then please let us know what is stopping you from using it.
Your answer
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