Shrinking Machine Learning Down to IoT Size
April 04, 2018
Despite the potential of machine learning in embedded applications, the technology is struggling to gain adoption due to its complexity.
Machine learning is struggling to gain adoption in embedded applications due to a high level of complexity. Fortunately, easy to-use software tools and off-the-shelf hardware platforms are now available that simplify initial creation of machine learning algorithms and allow them to be continuously optimized. Most important, these development platforms enable machine learning on embedded processors.
In this article, embedded engineers will learn about:
- Fundamentals of machine learning
- Tools that ease creation of machine learning algorithms
- Embedded boards capable of supporting machine learning