Developing edge devices

There are some factors to consider before you start developing a product that makes use of TinyML, as follows:

• The datasets that are available for developing your product. The best place to start is by making use of existing datasets or making use of data from an existing application.
• Product development cycles involving TinyML require a lot of trial and error to refine the parameters.
• TinyML applications are suitable for tapping new revenue streams and improving productivity.
• You also need to account for retraining your model from time to time to account for problems identified in the system.

Now that we have discussed some of the factors to consider before developing a product, let's summarize this chapter.