Happy new year for all the readers! May your wishes come true this year!
Machine Learning Pitfalls (1)
Quick story about my experience while training datassets for machine learning (image processing). Please, choose all datasets you want to train wisely. Do recheck and filter first before all datasets move into training phase.
As you can see in the photo, this is my report to my boss. After having trial and error to enhance the confidence level, all i get from the predicition for same photos (before 2nd training --> after 2nd training) are below than what i expect. In this case, i use photos as my datasets. Different position, different angles are affecting the confidence level. Datasets that you trained might turnback against your expectation because it confuses them to predict.
As you can see in the photo, this is my report to my boss. After having trial and error to enhance the confidence level, all i get from the predicition for same photos (before 2nd training --> after 2nd training) are below than what i expect. In this case, i use photos as my datasets. Different position, different angles are affecting the confidence level. Datasets that you trained might turnback against your expectation because it confuses them to predict.
