Recurrent Neural Networks

[@REZAREZA2010]

I'm amazed how a complex topic could be explained seamlessly! I have a question: In the Loss-Weight chart, why in the first steps the loss increased While at all time the main goal of the gradient is loss decreasing???

[@Ashipan99]

Hey, thanks for the videos, these has some really good information. I have trouble imagining how to go from folded model to the unfolded. You touched up on it but didn't go-to details. Specifically can you explain how a sequence of data is passed through a network. Unlike the other NN techniques I have a hard time visualizing RNNs. Thanks

[@leoisikdogan]

Ashan Gunathilaka Thanks for your feedback. You can find more information at the links in the description. The second one, in particular, has a lot of visualizations.

[@tibaaeini4657]

The best video ever, in a very simple way for anybody who is interested in. Thanks

[@patrickadonis7930]

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[@kianzechariah9181]

@Patrick Adonis yea, have been using Flixzone for months myself =)

[@sathishd1419]

simple enough to understand. Thank you

[@Leon-pn6rb]

I like your other videos but this is def too shallow and confusing. Would have been great if there were explanations to the many assumptions you took in the explanation

[@KayYesYouTuber]

nice video