#18 Machine Learning At Scale: Challenges and Solutions of Deploying On-Device Machine Learning models.
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Table of contents Introduction: On-Device Machine Learning is hard! First solution: Optimize the size of your Machine Learning model. Second solution: Create two different Machine Learning models. Introduction: On-Device Machine Learning is hard! In the past articles, I have been focusing on large scale systems assuming almost endless computational resources. However, there are cases where you might be interested in deploying a Machine learning model On-Device.
#18 Machine Learning At Scale: Challenges and Solutions of Deploying On-Device Machine Learning models.
#18 Machine Learning At Scale: Challenges and…
#18 Machine Learning At Scale: Challenges and Solutions of Deploying On-Device Machine Learning models.
Table of contents Introduction: On-Device Machine Learning is hard! First solution: Optimize the size of your Machine Learning model. Second solution: Create two different Machine Learning models. Introduction: On-Device Machine Learning is hard! In the past articles, I have been focusing on large scale systems assuming almost endless computational resources. However, there are cases where you might be interested in deploying a Machine learning model On-Device.