I went about 400 rows. This included the perceptron and its "alocatel" that slipped him the picture and hit/praised depending on the outcome. Plus it was napico a C# app with the UI that is used generate weight for identification. There is nothing difficult if you know the materiel.
PS. But right now, I look at the code and don't understand why I wrote some parts of it so=)
collee answered on June 26th 19 at 14:07
To write if only it worked, not universal, just for your task - elementary.
To teach - hard.
Well and optimize for speed is long.
If you need to appreciate the complexity of ready-made solutions - look at the source code for those available.
otha_Koepp answered on June 26th 19 at 14:09
There's not a problem to write so that worked without errors. But to write so that
1) Worked quickly
2) it could work on the GPU
3) Or to work in a cluster
5) Easy to debug
6) had a convenient API
Here it is, I think, takes most of the time when designing things like Tensorflow.