Hello HN, author here. As the title says, this post visualizes three of the most basics math operations involved in neural nets:
1- Calculating a prediction in a trained network
2- Sigmoid
3- ReLU
It's meant mainly to encourage people not to be intimidated by some of these concepts. Once you understand them, they turn out to be much simpler than would appear on the surface.
3 comments
[ 5.4 ms ] story [ 17.7 ms ] threadIt's meant mainly to encourage people not to be intimidated by some of these concepts. Once you understand them, they turn out to be much simpler than would appear on the surface.
Any and all feedback is appreciated. Thanks!