by Stephen Downes
Sept 22, 2016
It's just an infographic and won't give you a need knowledge of neural network configurations. But it's still useful. "Though all of these architectures are presented as novel and unique, when I drew the node structures… their underlying relations started to make more sense.mOne problem with drawing them as node maps: it doesn’t really show how they’re used. For example, variational autoencoders (VAE) may look just like autoencoders (AE), but the training process is actually quite different."
This newsletter is sent only at the request of subscribers. If you would like to unsubscribe, Click here.
Know a friend who might enjoy this newsletter? Feel free to forward OLDaily to your colleagues. If you received this issue from a friend and would like a free subscription of your own, you can join our mailing list. Click here to subscribe.