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it was okayish but the theory was most the theory was that if you had a big data set and a big neural net it was going to work
the over parameterization just didn't really um figure much as a problem i thought well with images you're just going to add some data augmentation it's
going to be okay so where was any doubt coming from the main doubt was can we train a bigger will we have enough computer trainer big
Listen to native speakers pronounce “parameterization” as a noun in real conversational contexts with synchronized timestamps and subtitles.