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whats up guys in this video well be building on what weve learned about mobile net and the techniques weve used for fine-tuning to fine-tune mobile net on a custom image data set that does not have classes similar to the image net classes it was originally trained on so lets get to it we saw in the last video how well our fine-tuned mobile net model performed on classifying images of cats and dogs we noted however that many types of cat and dog breeds were included in the image net data set that mobile net was originally trained on so we didnt have to do much tuning for our model to perform well on classifying these images now were going to see what we need to do to fine-tune mobile net on a completely new type of data set which doesnt contain classes similar to those included in image net this data set is images of sign language digits there are ten classes labeled as 0 through 9 and each class is made up of images of hands showing the sign for that particular digit this data