You can use existing models, convert Python TensorFlow models, use transfer learning to retrain existing models with your own data, and develop models from scratch.

If you are adept at Python and remember your high school algebra, you might enjoy [Oliver Holloway’s] tutorial on getting started with Tensorflow in Python.

The site has some much juicier demos to dig into if you want to get serious. We’ve had our own introduction to TensorFlow. While it isn’t JavaScript, we did enjoy this Python TensorFlow tutorial.

Train AI models with your own data to mitigate risks Foundation models provide a good platform from which organizations can build on for control of their artificial intelligence training data.

Plus a number of third parties have produced their own TensorFlow tutorials (including InfoWorld). There are now multiple TensorFlow books in print, and several online TensorFlow courses.