3 ms·
That was an eye-opener for me. I had always thought of neural nets in terms of the massive connected graph, that in my head was somehow behaved like a machine.
by JackFr 6y ago
That was an eye-opener for me.
I had always thought of neural nets in terms of the massive connected graph, that in my head was somehow behaved like a machine.
When I realized in the end its just a representation of a massive function, f:Rm->Rn, which needs to fitted to match inputs and outputs.
I know this is not precisely correct and glosses over many, many details - but this change in viewpoint is what finally allowed me to increase the depth of my understanding.
- deleted 6y ago[deleted]
- mjburgess 6y agoIt's unclear that there is such a thing as an NN, and in any case, that it is graph-like. What are the nodes and edges? There is a computational graph which corresponds to any mathematical function -- but it is not the NN diagram -- and not very interesting (eg., addition would be a node). NNs are neither neural nor networks.