Deep Learning is based on 2 methods :
1 - Neural Network
2 -Convolution
Both of them are based on Vector algebra (math dealing with vectors and matrices).
Snap! is ideally made for this kind of math:
1 - first-class architecture
2 - JavaScript extensions
3 - powerful Fmap blocks.
4 -JIT compiler (to be set)
Present appli is based on the well-known Iris dataset Neural Network example largely documented on Internet.
I shall propose later on several examples of NN applied to different cases.
Created
October 1, 2019
Last updated
October 1, 2019
Published
October 1, 2019