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Re:How an A.I. ‘Cat-And-Mouse Game’ Generates Believable Fak... by bitL on Thursday January 04, 2018 @05:45PM (#16074818)
> private ML tutoring from him

> I didn't get lessons because I gave up and eventually took the MOOC

Udacity still didn't get him onboard. I took DLF ND because of the tutoring they promised, did GANs as my first project to be in the queue, then graduated later still with no mentoring sessions. So you didn't miss anything by dropping out. How were Ng's new lessons? Worth taking it if I did DLF + fast.ai already?

BTW, GANs main use might be allowing almost fully unsupervised learning by extending small datasets with believable data.

Re:How an A.I. ‘Cat-And-Mouse Game’ Generates Believable Fak... by taneq on Thursday January 04, 2018 @07:01PM (#16075284)
> BTW, GANs main use might be allowing almost fully unsupervised learning by extending small datasets with believable data.

I've wondered if dreams are basically this. Your brain uses its world-model-prediction subsystem to generate plausible inputs against which to train its action-generation-policy subsystem. Then, in real life, the action-generation-policy subsystem can react much more appropriately and quickly to real events.

Also, toddlers' stream-of-consciousness babbling when they first start talking. They narrate everything and more than once I've wondered if it's essentially them generating their own verbal training data. When they start talking to themselves their pronunciation, grammar etc. start improving much more rapidly.