As for this week, It is time to train the FaceNet model. With the use of CASIA data sets to train the model and as well as LFW (Labelled Face In Wild) datasets as the test image. The model took 23 hours to complete its training. Despite all the wait, the results seems promising with best accuracy of 0.59 which is an complete improvement to the previous model we had during ByteHacks.