We are using Azure custom vision to make object detection and classification models. We don't have much information about algorithms being used by Azure to train the model. Appreciate if below details can be provided :
Algorithm being used while training models
Details on DNN and how many layers of DNN/algorithms is being used while training
Difference in approach when we train the model for different hours. For example: What is the approach if I train model for 2 hours, 10 hours or 24 hours.