Overview of Neural-Net programming, example using backpropagation and stochastic gradient descent
2 25 Apr 2018 01:55 by u/ActuallyAGoodThing
In summary programming a neural net explicitly is like writing assembly in this day and age. Instead of programming explict problem solving into a neural-net framework, you use the desired outcome to tune the inputs and outputs by weighting.
"A large portion of programmers of tomorrow do not maintain complex software repositories, write intricate programs, or analyze their running times. They collect, clean, manipulate, label, analyze and visualize data that feeds neural networks."
https://medium.com/@karpathy/software-2-0-a64152b37c35
1 comment
0 u/ActuallyAGoodThing [OP] 25 Apr 2018 02:02
Stochastic: Using a random variable, randomness
Gradient: Layers of ascending or descending density